Remote sensing-based estimation of rice yields using various models: A critical review

DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …

[HTML][HTML] Utilization of spectral indices for high-throughput phenotyping

R Tayade, J Yoon, L Lay, AL Khan, Y Yoon, Y Kim - Plants, 2022 - mdpi.com
The conventional plant breeding evaluation of large sets of plant phenotypes with precision
and speed is very challenging. Thus, consistent, automated, multifaceted, and high …

Dual polarimetric radar vegetation index for crop growth monitoring using sentinel-1 SAR data

D Mandal, V Kumar, D Ratha, S Dey… - Remote Sensing of …, 2020 - Elsevier
Abstract Sentinel-1 Synthetic Aperture Radar (SAR) data have provided an unprecedented
opportunity for crop monitoring due to its high revisit frequency and wide spatial coverage …

Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine

L Liu, X Xiao, Y Qin, J Wang, X Xu, Y Hu… - Remote Sensing of …, 2020 - Elsevier
Cropping intensity has undergone dramatic changes worldwide due to the effects of climate
changes and human management activities. Cropping intensity is an important factor …

Nationwide native forest structure maps for Argentina based on forest inventory data, SAR Sentinel-1 and vegetation metrics from Sentinel-2 imagery

EMO Silveira, VC Radeloff, S Martinuzzi… - Remote Sensing of …, 2023 - Elsevier
Detailed maps of forest structure attributes are crucial for sustainable forest management,
conservation, and forest ecosystem science at the landscape level. Mapping the structure of …

[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

D Montero, C Aybar, MD Mahecha, F Martinuzzi… - Scientific Data, 2023 - nature.com
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …

[HTML][HTML] Mapping wetland using the object-based stacked generalization method based on multi-temporal optical and SAR data

Y Cai, X Li, M Zhang, H Lin - … journal of applied earth observation and …, 2020 - Elsevier
Wetland ecosystems have experienced dramatic challenges in the past few decades due to
natural and human factors. Wetland maps are essential for the conservation and …

Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas

N Ouaadi, L Jarlan, J Ezzahar, M Zribi… - Remote Sensing of …, 2020 - Elsevier
Radar data at C-band has shown great potential for the monitoring of soil and canopy hydric
conditions of wheat crops. In this study, the C-band Sentinel-1 time series including the …

[HTML][HTML] Mapping crop types in complex farming areas using SAR imagery with dynamic time warping

GW Gella, W Bijker, M Belgiu - ISPRS journal of photogrammetry and …, 2021 - Elsevier
Crop type information is essential for many practical applications, yet its mapping is often
constrained by inherent characteristics of most farming areas, such as fragmentation and …

Soil moisture retrieval over croplands using dual-pol L-band GRD SAR data

N Bhogapurapu, S Dey, D Mandal… - Remote Sensing of …, 2022 - Elsevier
Vegetation cover significantly influences the hydrometeorological processes of land
surfaces. The heterogeneity of vegetation cover makes these processes more complex and …