Remote sensing for precision agriculture: Sentinel-2 improved features and applications
The use of satellites to monitor crops and support their management is gathering increasing
attention. The improved temporal, spatial, and spectral resolution of the European Space …
attention. The improved temporal, spatial, and spectral resolution of the European Space …
Multi-sensor remote sensing for drought characterization: current status, opportunities and a roadmap for the future
Satellite based remote sensing offers one of the few approaches able to monitor the spatial
and temporal development of regional to continental scale droughts. A unique element of …
and temporal development of regional to continental scale droughts. A unique element of …
Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods
W Zhu, Z ** rapid and non-destructive methods for chlorophyll estimation over large spatial
areas is a topic of much interest, as it would provide an indirect measure of plant …
areas is a topic of much interest, as it would provide an indirect measure of plant …
Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity
Vegetation indices (VIs), traditionally used for estimation of green leaf area index (gLAI),
have different sensitivities along the range of gLAI variability. The goals of this study were …
have different sensitivities along the range of gLAI variability. The goals of this study were …
[PDF][PDF] Review of crop yield forecasting methods and early warning systems
The following review paper presents an overview of the current crop yield forecasting
methods and early warning systems for the global strategy to improve agricultural and rural …
methods and early warning systems for the global strategy to improve agricultural and rural …
Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data
The incorporation of a red edge channel in multi-spectral satellite sensors has potential for
improving land-use classification, as the related electromagnetic spectrum is specifically …
improving land-use classification, as the related electromagnetic spectrum is specifically …
A novel cotton map** index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery
L Xun, J Zhang, D Cao, S Yang, F Yao - ISPRS Journal of Photogrammetry …, 2021 - Elsevier
Cotton is an important cash crop in the world, as the main source of natural and renewable
fiber for textiles. Accurate and timely monitoring of the cotton distribution is crucial for cotton …
fiber for textiles. Accurate and timely monitoring of the cotton distribution is crucial for cotton …