The dataset has combined the Parcels and Computer-Assisted Mass Appraisal (CAMA) data for 2023 into a single dataset. This dataset is designed to make it easier for stakeholders and the GIS community to use and access the information as a geospatial dataset. Included in this dataset are geometries for all 169 municipalities and attribution from the CAMA data for all but one municipality. Pursuant to Section 7-100l of the Connecticut General Statutes, each municipality is required to transmit a digital parcel file and an accompanying assessor’s database file (known as a CAMA report), to its respective regional council of governments (COG) by May 1 annually.
These data were gathered from the CT municipalities by the COGs and then submitted to CT OPM. This dataset was created on 12/08/2023 from data collected in 2022-2023. Data was processed using Python scripts and ArcGIS Pro, ensuring standardization and integration of the data.
CAMA Notes:
The CAMA underwent several steps to standardize and consolidate the information. Python scripts were used to concatenate fields and create a unique identifier for each entry. The resulting dataset contains 1,353,595 entries and information on property assessments and other relevant attributes.
CAMA was provided by the towns.
Canaan parcels are viewable, but no additional information is available since no CAMA data was submitted.
Spatial Data Notes:
Data processing involved merging the parcels from different municipalities using ArcGIS Pro and Python. The resulting dataset contains 1,247,506 parcels.
No alteration has been made to the spatial geometry of the data.
Fields that are associated with CAMA data were provided by towns.
The data fields that have information from the CAMA were sourced from the towns’ CAMA data.
If no field for the parcels was provided for linking back to the CAMA by the town a new field within the original data was selected if it had a match rate above 50%, that joined back to the CAMA.
Linking fields were renamed to \"Link\".
All linking fields had a census town code added to the beginning of the value to create a unique identifier per town.
Any field that was not town name, Location, Editor, Edit Date, or a field associated back to the CAMA, was not used in the creation of this Dataset.
Only the fields related to town name, location, editor, edit date, and link fields associated with the towns’ CAMA were included in the creation of this dataset. Any other field provided in the original data was deleted or not used.
Field names for town (Muni, Municipality) were renamed to \"Town Name\".
The attributes included in the data:
Town Name
Owner
Co-Owner
Link
Editor
Edit Date
Collection year – year the parcels were submitted
Location
Mailing Address
Mailing City
Assessed Total
Assessed Land
Assessed Building
Pre-Year Assessed Total
Appraised Land
Appraised Building
Appraised Outbuilding
Condition
Model
Valuation
Zone
Living Are
Effective Area
Total rooms
Number of bedrooms
Number of Baths
Number of Half-Baths
Sale Price
Sale Date
Qualified
Prior Sale Price
Prior Sale Date
Prior Book and Page
Planning Region
*Please note that not all parcels have a link to a CAMA entry.
Additional information about the specifics of data availability and compliance will be coming soon.
The dataset has combined the Parcels and Computer-Assisted Mass Appraisal (CAMA) data for 2023 into a single dataset. This dataset is designed to make it easier for stakeholders and the GIS community to use and access the information as a geospatial dataset. Included in this dataset are geometries for all 169 municipalities and attribution from the CAMA data for all but one municipality. Pursuant to Section 7-100l of the Connecticut General Statutes, each municipality is required to transmit a digital parcel file and an accompanying assessor’s database file (known as a CAMA report), to its respective regional council of governments (COG) by May 1 annually.
These data were gathered from the CT municipalities by the COGs and then submitted to CT OPM. This dataset was created on 12/08/2023 from data collected in 2022-2023. Data was processed using Python scripts and ArcGIS Pro, ensuring standardization and integration of the data.
CAMA Notes:
The CAMA underwent several steps to standardize and consolidate the information. Python scripts were used to concatenate fields and create a unique identifier for each entry. The resulting dataset contains 1,353,595 entries and information on property assessments and other relevant attributes.
CAMA was provided by the towns.
Canaan parcels are viewable, but no additional information is available since no CAMA data was submitted.
Spatial Data Notes:
Data processing involved merging the parcels from different municipalities using ArcGIS Pro and Python. The resulting dataset contains 1,247,506 parcels.
No alteration has been made to the spatial geometry of the data.
Fields that are associated with CAMA data were provided by towns.
The data fields that have information from the CAMA were sourced from the towns’ CAMA data.
If no field for the parcels was provided for linking back to the CAMA by the town a new field within the original data was selected if it had a match rate above 50%, that joined back to the CAMA.
Linking fields were renamed to \"Link\".
All linking fields had a census town code added to the beginning of the value to create a unique identifier per town.
Any field that was not town name, Location, Editor, Edit Date, or a field associated back to the CAMA, was not used in the creation of this Dataset.
Only the fields related to town name, location, editor, edit date, and link fields associated with the towns’ CAMA were included in the creation of this dataset. Any other field provided in the original data was deleted or not used.
Field names for town (Muni, Municipality) were renamed to \"Town Name\".
The attributes included in the data:
Town Name
Owner
Co-Owner
Link
Editor
Edit Date
Collection year – year the parcels were submitted
Location
Mailing Address
Mailing City
Mailing State
Assessed Total
Assessed Land
Assessed Building
Pre-Year Assessed Total
Appraised Land
Appraised Building
Appraised Outbuilding
Condition
Model
Valuation
Zone
Zone Description
State Use
State Use Description
Living Area
Effective Area
Total rooms
Number of bedrooms
Number of Baths
Number of Half-Baths
Sale Price
Sale Date
Qualified
Occupancy
Prior Sale Price
Prior Sale Date
Prior Book and Page
Planning Region
*Please note that not all parcels have a link to a CAMA entry.
Additional information about the specifics of data availability and compliance will be coming soon.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Farmland classification identifies map units as prime farmland,
farmland of statewide importance, farmland of local importance,
or unique farmland. It identifies the location and extent of the
soils that are best suited to food, feed, fiber, forage, and
oilseed crops. NRCS policy and procedures on prime and unique
farmlands are published in the \"Federal Register,\" Vol. 43,
No. 21, January 31, 1978.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Farmland classification identifies map units as prime farmland,
farmland of statewide importance, farmland of local importance,
or unique farmland. It identifies the location and extent of the
soils that are best suited to food, feed, fiber, forage, and
oilseed crops. NRCS policy and procedures on prime and unique
farmlands are published in the \"Federal Register,\" Vol. 43,
No. 21, January 31, 1978.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
This rating indicates the percentage of map units that meets the criteria
for hydric soils. Map units are composed of one or more map unit components
or soil types, each of which is rated as hydric soil or not hydric. Map units
that are made up dominantly of hydric soils may have small areas of minor
nonhydric components in the higher positions on the landform, and map units
that are made up dominantly of nonhydric soils may have small areas of minor
hydric components in the lower positions on the landform. Each map unit is
rated based on its respective components and the percentage of each component
within the map unit.
The thematic map is color coded based on the composition of hydric components.
The five color classes are separated as 100 percent hydric components, 66 to
99 percent hydric components, 33 to 65 percent hydric components, 1 to 32 percent
hydric components, and less than one percent hydric components.
In Web Soil Survey, the Summary by Map Unit table that is displayed below the
map pane contains a column named 'Rating'.In this column the percentage of each
map unit that is classified as hydric is displayed.
Hydric soils are defined by the National Technical Committee for Hydric Soils (NTCHS)
as soils that formed under conditions of saturation, flooding, or ponding long enough
during the growing season to develop anaerobic conditions in the upper part (Federal
Register, 1994). Under natural conditions, these soils are either saturated or
inundated long enough during the growing season to support the growth and reproduction
of hydrophytic vegetation.
The NTCHS definition identifies general soil properties that are associated with
wetness. In order to determine whether a specific soil is a hydric soil or nonhydric
soil, however, more specific information, such as information about the depth and
duration of the water table, is needed. Thus, criteria that identify those estimated
soil properties unique to hydric soils have been established (Federal Register, 2002).
These criteria are used to identify map unit components that normally are associated
with wetlands. The criteria used are selected estimated soil properties that are
described in \"Soil Taxonomy\" (Soil Survey Staff, 1999) and \"Keys to Soil Taxonomy\"
(Soil Survey Staff, 2006) and in the \"Soil Survey Manual\" (Soil Survey Division Staff, 1993).
If soils are wet enough for a long enough period of time to be considered hydric,
they should exhibit certain properties that can be easily observed in the field.
These visible properties are indicators of hydric soils. The indicators used to make
onsite determinations of hydric soils are specified in \"Field Indicators of Hydric
Soils in the United States\" (Hurt and Vasilas, 2006).
This rating indicates the percentage of map units that meets the criteria
for hydric soils. Map units are composed of one or more map unit components
or soil types, each of which is rated as hydric soil or not hydric. Map units
that are made up dominantly of hydric soils may have small areas of minor
nonhydric components in the higher positions on the landform, and map units
that are made up dominantly of nonhydric soils may have small areas of minor
hydric components in the lower positions on the landform. Each map unit is
rated based on its respective components and the percentage of each component
within the map unit.
The thematic map is color coded based on the composition of hydric components.
The five color classes are separated as 100 percent hydric components, 66 to
99 percent hydric components, 33 to 65 percent hydric components, 1 to 32 percent
hydric components, and less than one percent hydric components.
In Web Soil Survey, the Summary by Map Unit table that is displayed below the
map pane contains a column named 'Rating'.In this column the percentage of each
map unit that is classified as hydric is displayed.
Hydric soils are defined by the National Technical Committee for Hydric Soils (NTCHS)
as soils that formed under conditions of saturation, flooding, or ponding long enough
during the growing season to develop anaerobic conditions in the upper part (Federal
Register, 1994). Under natural conditions, these soils are either saturated or
inundated long enough during the growing season to support the growth and reproduction
of hydrophytic vegetation.
The NTCHS definition identifies general soil properties that are associated with
wetness. In order to determine whether a specific soil is a hydric soil or nonhydric
soil, however, more specific information, such as information about the depth and
duration of the water table, is needed. Thus, criteria that identify those estimated
soil properties unique to hydric soils have been established (Federal Register, 2002).
These criteria are used to identify map unit components that normally are associated
with wetlands. The criteria used are selected estimated soil properties that are
described in \"Soil Taxonomy\" (Soil Survey Staff, 1999) and \"Keys to Soil Taxonomy\"
(Soil Survey Staff, 2006) and in the \"Soil Survey Manual\" (Soil Survey Division Staff, 1993).
If soils are wet enough for a long enough period of time to be considered hydric,
they should exhibit certain properties that can be easily observed in the field.
These visible properties are indicators of hydric soils. The indicators used to make
onsite determinations of hydric soils are specified in \"Field Indicators of Hydric
Soils in the United States\" (Hurt and Vasilas, 2006).
The State of Connecticut defines inland wetlands based on soils.
The Connecticut Inland Wetlands and Watercourses Act defines wetland
soils to include any of the soil types designated as poorly drained,
very poorly drained, alluvial, or floodplain by the National Cooperative Soil Survey,
as may be periodically amended, of the Natural Resources Conservation Service
of the United States Department of Agriculture.
Map units dominated by Connecticut inland wetland soils may have inclusions
of non-wetland soils, and non-wetland map units may have inclusions of
Connecticut inland wetland soils. On site investigation is necessary to
determine the presence or absence of wetland soils in a particular area.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
The State of Connecticut defines inland wetlands based on soils.
The Connecticut Inland Wetlands and Watercourses Act defines wetland
soils to include any of the soil types designated as poorly drained,
very poorly drained, alluvial, or floodplain by the National Cooperative Soil Survey,
as may be periodically amended, of the Natural Resources Conservation Service
of the United States Department of Agriculture.
Map units dominated by Connecticut inland wetland soils may have inclusions
of non-wetland soils, and non-wetland map units may have inclusions of
Connecticut inland wetland soils. On site investigation is necessary to
determine the presence or absence of wetland soils in a particular area.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Subsurface sewage disposal systems (SSDS) consist of a house sewer, a septic
tank followed by a leaching system, any necessary pumps and siphons, and a
groundwater control system upon which the operation of the leaching system
depends. This interpretation focuses mainly on the septic tank leaching field
and groundwater control system
Soil Potential Ratings
Soil potential ratings indicate the relative quality of a soil for a
particular use compared to other soils in a given area, in this case
the State of Connecticut.
The rating criteria were developed by a committee of State and local
sanitarians, engineers, and installers. The soils data was provided by
the USDA Natural Resources Conservation Service (NRCS), and the performance
and site conditions for a typical system were defined. This information
provided a standard against which various combinations of properties of
soils within Connecticut could be compared.
The engineering and installation practices used to overcome various soil
limitations were listed, and their costs estimated. This information was
used to identify limitations and costs associated with installing an SSDS
on each soil in Connecticut. Soils with no or minor limitations for the
installation of an SSDS were rated the highest. Conversely, soils requiring
extensive site modification and design were rated the lowest. The ease of
system installation, and therefore cost, formed the basis of the rating scheme.
Rating Classes
The rating class definitions refer to installation of an SSDS that meets
State and local health code regulations. Soils with high potential have
characteristics that meet the performance standard. A typical system can
be installed at a cost of \"x\", which represents the going rate for installing
an SSDS. The actual value of x varies depending upon many factors unrelated
to soil properties.
The cost of installing a leaching field is expressed as a multiple of x and
called the cost factor. For example, a cost factor of 3x to and 3.5x means
that the estimated cost of installing a leaching field in the particular
soil ranges from 3 to 3.5 times more than that of installing a field in a
soil with high potential. The cost factors provide relative estimates of
the costs of installing an SSDS.
The soil potential ratings and associated cost factors, assuming a typical
system, are defined below.
High Potential - These soils have the best combination of characteristics
or have limitations that can be easily overcome using standard installation practices.
The cost factor is 1x to 2.0x.
Medium Potential - These soils have significant limitations, such as low
percolation rate, that generally can be overcome using commonly applied designs.
The cost factor ranges from 2.0x to 2.5x.
Low Potential - These soils have one or more limitations, such as low percolation
rate and depth to seasonal high water table, that require extensive design and
site preparation to overcome. The cost factor ranges from 2.5x to 3.5x.
Very Low Potential - These soils have major soil limitations, such as depth to
bedrock, that require extensive design and site preparation to overcome. A permit
for an SSDS may not be issued unless the naturally occurring soils meet the minimal
requirements outlined in the State health code. It is unlikely that these soils
can be improved sufficiently to meet State health code regulations. The cost factor
ranges from 4.25x to 6.0x.
Extremely Low Potential - These soils have multiple major limitations, such as
flooding and depth to seasonal high water table, which are extremely difficult
to overcome. A permit for an SSDS may not be issued unless the naturally occurring
soils meet the minimal requirements outlined in the State health code. It is
unlikely that these soils can be improved sufficiently to meet State health code
regulations.
Not Rated - Areas labeled Not Rated have soil characteristics that show extreme
variability from one location to another. The work needed to overcome adverse soil
properties cannot be estimated. These areas commonly are urban land complexes or
miscellaneous areas. An on-site investigation is required to determine soil
conditions at the site.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Subsurface sewage disposal systems (SSDS) consist of a house sewer, a septic
tank followed by a leaching system, any necessary pumps and siphons, and a
groundwater control system upon which the operation of the leaching system
depends. This interpretation focuses mainly on the septic tank leaching field
and groundwater control system
Soil Potential Ratings
Soil potential ratings indicate the relative quality of a soil for a
particular use compared to other soils in a given area, in this case
the State of Connecticut.
The rating criteria were developed by a committee of State and local
sanitarians, engineers, and installers. The soils data was provided by
the USDA Natural Resources Conservation Service (NRCS), and the performance
and site conditions for a typical system were defined. This information
provided a standard against which various combinations of properties of
soils within Connecticut could be compared.
The engineering and installation practices used to overcome various soil
limitations were listed, and their costs estimated. This information was
used to identify limitations and costs associated with installing an SSDS
on each soil in Connecticut. Soils with no or minor limitations for the
installation of an SSDS were rated the highest. Conversely, soils requiring
extensive site modification and design were rated the lowest. The ease of
system installation, and therefore cost, formed the basis of the rating scheme.
Rating Classes
The rating class definitions refer to installation of an SSDS that meets
State and local health code regulations. Soils with high potential have
characteristics that meet the performance standard. A typical system can
be installed at a cost of \"x\", which represents the going rate for installing
an SSDS. The actual value of x varies depending upon many factors unrelated
to soil properties.
The cost of installing a leaching field is expressed as a multiple of x and
called the cost factor. For example, a cost factor of 3x to and 3.5x means
that the estimated cost of installing a leaching field in the particular
soil ranges from 3 to 3.5 times more than that of installing a field in a
soil with high potential. The cost factors provide relative estimates of
the costs of installing an SSDS.
The soil potential ratings and associated cost factors, assuming a typical
system, are defined below.
High Potential - These soils have the best combination of characteristics
or have limitations that can be easily overcome using standard installation practices.
The cost factor is 1x to 2.0x.
Medium Potential - These soils have significant limitations, such as low
percolation rate, that generally can be overcome using commonly applied designs.
The cost factor ranges from 2.0x to 2.5x.
Low Potential - These soils have one or more limitations, such as low percolation
rate and depth to seasonal high water table, that require extensive design and
site preparation to overcome. The cost factor ranges from 2.5x to 3.5x.
Very Low Potential - These soils have major soil limitations, such as depth to
bedrock, that require extensive design and site preparation to overcome. A permit
for an SSDS may not be issued unless the naturally occurring soils meet the minimal
requirements outlined in the State health code. It is unlikely that these soils
can be improved sufficiently to meet State health code regulations. The cost factor
ranges from 4.25x to 6.0x.
Extremely Low Potential - These soils have multiple major limitations, such as
flooding and depth to seasonal high water table, which are extremely difficult
to overcome. A permit for an SSDS may not be issued unless the naturally occurring
soils meet the minimal requirements outlined in the State health code. It is
unlikely that these soils can be improved sufficiently to meet State health code
regulations.
Not Rated - Areas labeled Not Rated have soil characteristics that show extreme
variability from one location to another. The work needed to overcome adverse soil
properties cannot be estimated. These areas commonly are urban land complexes or
miscellaneous areas. An on-site investigation is required to determine soil
conditions at the site.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Parent material name is a term for the general physical, chemical,
and mineralogical composition of the unconsolidated material, mineral
or organic, in which the soil forms. Mode of deposition and/or weathering
may be implied by the name.
The soil surveyor uses parent material to develop a model used for soil
mapping. Soil scientists and specialists in other disciplines use parent
material to help interpret soil boundaries and project performance of
the material below the soil. Many soil properties relate to parent material.
Among these properties are proportions of sand, silt, and clay; chemical
content; bulk density; structure; and the kinds and amounts of rock fragments.
These properties affect interpretations and may be criteria used to separate
soil series. Soil properties and landscape information may imply the kind of
parent material.
For each soil in the database, one or more parent materials may be identified.
One is marked as the representative or most commonly occurring.The representative
parent material name is presented here.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Parent material name is a term for the general physical, chemical,
and mineralogical composition of the unconsolidated material, mineral
or organic, in which the soil forms. Mode of deposition and/or weathering
may be implied by the name.
The soil surveyor uses parent material to develop a model used for soil
mapping. Soil scientists and specialists in other disciplines use parent
material to help interpret soil boundaries and project performance of
the material below the soil. Many soil properties relate to parent material.
Among these properties are proportions of sand, silt, and clay; chemical
content; bulk density; structure; and the kinds and amounts of rock fragments.
These properties affect interpretations and may be criteria used to separate
soil series. Soil properties and landscape information may imply the kind of
parent material.
For each soil in the database, one or more parent materials may be identified.
One is marked as the representative or most commonly occurring.The representative
parent material name is presented here.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Drainage class (natural)\" refers to the frequency and duration of wet periods
under conditions similar to those under which the soil formed. Alterations of
the water regime by human activities, either through drainage or irrigation,
are not a consideration unless they have significantly changed the morphology
of the soil. Seven classes of natural soil drainage are recognized-excessively
drained, somewhat excessively drained, well drained, moderately well drained,
somewhat poorly drained, poorly drained, and very poorly drained. These classes
are defined in the \"Soil Survey Manual.
The State of Connecticut defines inland wetlands based on soils.
The Connecticut Inland Wetlands and Watercourses Act defines wetland
soils to include any of the soil types designated as poorly drained,
very poorly drained, alluvial, or floodplain by the National Cooperative Soil Survey,
as may be periodically amended, of the Natural Resources Conservation Service
of the United States Department of Agriculture.
Map units dominated by Connecticut inland wetland soils may have inclusions
of non-wetland soils, and non-wetland map units may have inclusions of
Connecticut inland wetland soils. On site investigation is necessary to
determine the presence or absence of wetland soils in a particular area.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.
Drainage class (natural)\" refers to the frequency and duration of wet periods
under conditions similar to those under which the soil formed. Alterations of
the water regime by human activities, either through drainage or irrigation,
are not a consideration unless they have significantly changed the morphology
of the soil. Seven classes of natural soil drainage are recognized-excessively
drained, somewhat excessively drained, well drained, moderately well drained,
somewhat poorly drained, poorly drained, and very poorly drained. These classes
are defined in the \"Soil Survey Manual.
The State of Connecticut defines inland wetlands based on soils.
The Connecticut Inland Wetlands and Watercourses Act defines wetland
soils to include any of the soil types designated as poorly drained,
very poorly drained, alluvial, or floodplain by the National Cooperative Soil Survey,
as may be periodically amended, of the Natural Resources Conservation Service
of the United States Department of Agriculture.
Map units dominated by Connecticut inland wetland soils may have inclusions
of non-wetland soils, and non-wetland map units may have inclusions of
Connecticut inland wetland soils. On site investigation is necessary to
determine the presence or absence of wetland soils in a particular area.
This data set is a digital soil survey and generally is the most
detailed level of soil geographic data developed by the National
Cooperative Soil Survey. The information was prepared by digitizing
maps, by compiling information onto a planimetric correct base
and digitizing, or by revising digitized maps using remotely
sensed and other information.
This data set consists of georeferenced digital map data and
computerized attribute data. The map data are in a soil survey area
extent format and include a detailed, field verified inventory
of soils and miscellaneous areas that normally occur in a repeatable
pattern on the landscape and that can be cartographically shown at
the scale mapped. The soil map units are linked to attributes in the
National Soil Information System relational database, which gives
the proportionate extent of the component soils and their properties.