Advances in hyperspectral remote sensing of vegetation and agricultural crops
PS Thenkabail, JG Lyon, A Huete - … , Sensor Systems, Spectral …, 2018 - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …
Cross-scale sensing of field-level crop residue cover: Integrating field photos, airborne hyperspectral imaging, and satellite data
Conservation tillage practices can bring benefits to agricultural sustainability. Accurate
spatial and temporal resolved information of field-scale crop residue cover, which reflects …
spatial and temporal resolved information of field-scale crop residue cover, which reflects …
Discriminating crop residues from soil by shortwave infrared reflectance
CST Daughtry - Agronomy Journal, 2001 - Wiley Online Library
Quantifying crop residue cover on the soil surface is important for evaluating the
effectiveness of conservation tillage practices. Current methods of measuring residue cover …
effectiveness of conservation tillage practices. Current methods of measuring residue cover …
Plant litter and soil reflectance
PL Nagler, CST Daughtry, SN Goward - Remote Sensing of Environment, 2000 - Elsevier
The presence of plant litter on the soil surface influences the flow of nutrients, carbon, water,
and energy in terrestrial ecosystems. Quantifying plant litter cover is important for …
and energy in terrestrial ecosystems. Quantifying plant litter cover is important for …
[HTML][HTML] A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy
Non-photosynthetic vegetation (NPV) is considered a key quantifiable variable in the context
of new spaceborne imaging spectroscopy missions. Knowledge of NPV is essential for all …
of new spaceborne imaging spectroscopy missions. Knowledge of NPV is essential for all …
Estimation of vegetation parameter for modeling soil erosion using linear Spectral Mixture Analysis of Landsat ETM data
AM De Asis, K Omasa - ISPRS Journal of Photogrammetry and Remote …, 2007 - Elsevier
Soil conservation planning often requires estimates of soil erosion at a catchment or
regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its …
regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its …
Integration of tillage indices and textural features of Sentinel-2A multispectral images for maize residue cover estimation
X Xiang, J Du, PA Jacinthe, B Zhao, H Zhou… - Soil and Tillage …, 2022 - Elsevier
In this work, Sentinel-2A images were used to estimate maize residue cover (MRC) using
tillage indices (TIs) and textural features. A MRC estimation model based on partial least …
tillage indices (TIs) and textural features. A MRC estimation model based on partial least …
[HTML][HTML] Mapping crop residue and tillage intensity using WorldView-3 satellite shortwave infrared residue indices
Crop residues serve many important functions in agricultural conservation including
preserving soil moisture, building soil organic carbon, and preventing erosion. Percent crop …
preserving soil moisture, building soil organic carbon, and preventing erosion. Percent crop …
Cellulose absorption index (CAI) to quantify mixed soil–plant litter scenes
Quantification of plant litter cover on the soil surface is necessary in both agricultural and
natural systems because the presence of litter influences the flow of nutrients, carbon, water …
natural systems because the presence of litter influences the flow of nutrients, carbon, water …
Remote-and ground-based sensor techniques to map soil properties
EM Barnes, KA Sudduth, JW Hummel… - … & Remote Sensing, 2003 - ingentaconnect.com
Farm managers are becoming increasingly aware of the spatial variability in crop production
with the growing availability of yield monitors. Often this variability can be related to …
with the growing availability of yield monitors. Often this variability can be related to …