Global review and synthesis of trends in observed terrestrial near-surface wind speeds: Implications for evaporation
In a globally warming climate, observed rates of atmospheric evaporative demand have
declined over recent decades. Several recent studies have shown that declining rates of …
declined over recent decades. Several recent studies have shown that declining rates of …
Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data
This paper reviews methods for estimating evaporation from landscapes, regions and larger
geographic extents, with remotely sensed surface temperatures, and highlights uncertainties …
geographic extents, with remotely sensed surface temperatures, and highlights uncertainties …
A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
Accurate and timely spatial classification of crop types based on remote sensing data is
important for both scientific and practical purposes. Spatially explicit crop-type information …
important for both scientific and practical purposes. Spatially explicit crop-type information …
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth …
J Xiong, PS Thenkabail, JC Tilton, MK Gumma… - Remote Sensing, 2017 - mdpi.com
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must
for food and water security analysis. Precise and accurate global cropland extent maps …
for food and water security analysis. Precise and accurate global cropland extent maps …
Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains
The global environmental change research community requires improved and up-to-date
land use/land cover (LULC) datasets at regional to global scales to support a variety of …
land use/land cover (LULC) datasets at regional to global scales to support a variety of …
Assessing the accuracy of blending Landsat–MODIS surface reflectances in two landscapes with contrasting spatial and temporal dynamics: A framework for algorithm …
Blending algorithms model land cover change by using highly resolved spatial data from
one sensor and highly resolved temporal data from another. Because the data are not …
one sensor and highly resolved temporal data from another. Because the data are not …
Feature selection of time series MODIS data for early crop classification using random forest: A case study in Kansas, USA
Currently, accurate information on crop area coverage is vital for food security and industry,
and there is strong demand for timely crop mapping. In this study, we used MODIS time …
and there is strong demand for timely crop mapping. In this study, we used MODIS time …
Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using support vector machines
Crop mapping is one major component of agricultural resource monitoring using remote
sensing. Yield or water demand modeling requires that both, the total surface that is …
sensing. Yield or water demand modeling requires that both, the total surface that is …
Crop classification using multi-temporal Sentinel-2 data in the Shiyang River Basin of China
Z Yi, L Jia, Q Chen - Remote Sensing, 2020 - mdpi.com
Timely and accurate crop classification is of enormous significance for agriculture
management. The Shiyang River Basin, an inland river basin, is one of the most prominent …
management. The Shiyang River Basin, an inland river basin, is one of the most prominent …
Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index
Y Pan, L Li, J Zhang, S Liang, X Zhu… - Remote Sensing of …, 2012 - Elsevier
The global distribution of croplands is of critical interest to a wide group of end-users.
Different crops have their own representative phenological stages during their growing …
Different crops have their own representative phenological stages during their growing …