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Estimates of Conservation Tillage Practices Using Landsat Archive
by
Wallander, Steven A.
, Daughtry, Craig S.T.
, Beeson, Peter C.
in
accuracy
/ Agricultural practices
/ Archives & records
/ area
/ Conservation
/ Conservation practices
/ Conservation tillage
/ Corn
/ crop residue cover
/ Crop residues
/ data collection
/ Environmental quality
/ Environmental Quality Incentives Program
/ environmental quality incentives program (EQIP)
/ Estimates
/ Farms
/ Incentives
/ Landsat
/ Landsat satellites
/ Minnesota
/ no-tillage
/ non-photosynthetic vegetation
/ normalized difference tillage index (NDTI)
/ North Dakota
/ objectives
/ plant litter
/ planting
/ Polls & surveys
/ Rain
/ Remote sensing
/ researchers
/ Residues
/ Satellite imagery
/ soil disturbance
/ South Dakota
/ Soybeans
/ surveys
/ Thematic Mappers (LANDSAT)
/ thematic maps
/ Tillage
/ Training
/ USDA
2020
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Estimates of Conservation Tillage Practices Using Landsat Archive
by
Wallander, Steven A.
, Daughtry, Craig S.T.
, Beeson, Peter C.
in
accuracy
/ Agricultural practices
/ Archives & records
/ area
/ Conservation
/ Conservation practices
/ Conservation tillage
/ Corn
/ crop residue cover
/ Crop residues
/ data collection
/ Environmental quality
/ Environmental Quality Incentives Program
/ environmental quality incentives program (EQIP)
/ Estimates
/ Farms
/ Incentives
/ Landsat
/ Landsat satellites
/ Minnesota
/ no-tillage
/ non-photosynthetic vegetation
/ normalized difference tillage index (NDTI)
/ North Dakota
/ objectives
/ plant litter
/ planting
/ Polls & surveys
/ Rain
/ Remote sensing
/ researchers
/ Residues
/ Satellite imagery
/ soil disturbance
/ South Dakota
/ Soybeans
/ surveys
/ Thematic Mappers (LANDSAT)
/ thematic maps
/ Tillage
/ Training
/ USDA
2020
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Estimates of Conservation Tillage Practices Using Landsat Archive
by
Wallander, Steven A.
, Daughtry, Craig S.T.
, Beeson, Peter C.
in
accuracy
/ Agricultural practices
/ Archives & records
/ area
/ Conservation
/ Conservation practices
/ Conservation tillage
/ Corn
/ crop residue cover
/ Crop residues
/ data collection
/ Environmental quality
/ Environmental Quality Incentives Program
/ environmental quality incentives program (EQIP)
/ Estimates
/ Farms
/ Incentives
/ Landsat
/ Landsat satellites
/ Minnesota
/ no-tillage
/ non-photosynthetic vegetation
/ normalized difference tillage index (NDTI)
/ North Dakota
/ objectives
/ plant litter
/ planting
/ Polls & surveys
/ Rain
/ Remote sensing
/ researchers
/ Residues
/ Satellite imagery
/ soil disturbance
/ South Dakota
/ Soybeans
/ surveys
/ Thematic Mappers (LANDSAT)
/ thematic maps
/ Tillage
/ Training
/ USDA
2020
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Estimates of Conservation Tillage Practices Using Landsat Archive
Journal Article
Estimates of Conservation Tillage Practices Using Landsat Archive
2020
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Overview
The USDA Environmental Quality Incentives Program (EQIP) provides financial assistance to encourage producers to adopt conservation practices. Historically, one of the most common practices is conservation tillage, primarily the use of no-till planting. The objectives of this research were to determine crop residue using remote sensing, an indicator of tillage intensity, without using training data and examine its performance at the field level. The Landsat Thematic Mapper Series platforms can provide global temporal and spatial coverage beginning in the mid-1980s. In this study, we used the Normalized Difference Tillage Index (NDTI), which has proved to be robust and accurate in studies built upon training datasets. We completed 10 years of residue maps for the 150,000 km2 study area in South Dakota, North Dakota, and Minnesota and validated the results against field-level survey data. The overall accuracy was between 64% and 78% with additional improvement when survey points with suspect geolocation and satellite tillage estimates with fewer than four dates of Landsat images were excluded. This study demonstrates that, with Landsat Archive available at no cost, researchers can implement retrospective, untrained estimates of conservation tillage with sufficient accuracy for some applications.
Publisher
MDPI AG
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