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[HTML][HTML] Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for …
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …
and machine learning algorithms for estimating important biophysical and biochemical …
[HTML][HTML] A review of climate-smart agriculture research and applications in Africa
Funders and governments are promoting climate-smart agriculture (CSA) as key to
agricultural adaptation under climate change in Africa. However, with its progressions still at …
agricultural adaptation under climate change in Africa. However, with its progressions still at …
[HTML][HTML] Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
J Estévez, M Salinero-Delgado, K Berger… - Remote sensing of …, 2022 - Elsevier
The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …
[HTML][HTML] Assessment of leaf area index models using harmonized landsat and sentinel-2 surface reflectance data over a semi-arid irrigated landscape
Leaf area index (LAI) is an essential indicator of crop development and growth. For many
agricultural applications, satellite-based LAI estimates at the farm-level often require near …
agricultural applications, satellite-based LAI estimates at the farm-level often require near …
[HTML][HTML] Estimating the phenological dynamics of irrigated rice leaf area index using the combination of PROSAIL and Gaussian Process Regression
The growth of rice is a sequence of three different phenological phases. This sequence of
change in rice phenology implies that the condition of the plant during the vegetative phase …
change in rice phenology implies that the condition of the plant during the vegetative phase …
[HTML][HTML] Top-of-atmosphere retrieval of multiple crop traits using variational heteroscedastic Gaussian processes within a hybrid workflow
In support of cropland monitoring, operational Copernicus Sentinel-2 (S2) data became
available globally and can be explored for the retrieval of important crop traits. Based on a …
available globally and can be explored for the retrieval of important crop traits. Based on a …
[HTML][HTML] Leaf area index retrieval with ICESat-2 photon counting LiDAR
This is the first study to inverse leaf area index (LAI) with photon counting LiDAR (ie, Ice,
Cloud, and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System …
Cloud, and Land Elevation Satellite-2/Advanced Topographic Laser Altimeter System …
[HTML][HTML] Multi-sensor high spatial resolution leaf area index estimation by combining surface reflectance with vegetation indices for highly heterogeneous regions: A …
D Han, H Cai, L Zhang, Y Wen - Ecological Informatics, 2024 - Elsevier
The leaf area index (LAI) is an indispensable parameter in vegetation canopy research. In
highly heterogeneous regions, a low spatial resolution LAI often fails to reveal dynamic …
highly heterogeneous regions, a low spatial resolution LAI often fails to reveal dynamic …