[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 …
The drought regime in southern africa: a systematic review
Drought is one natural disaster with the greatest impact worldwide. Southern Africa (SA) is
susceptible and vulnerable to drought due to its type of climate. In the last four decades …
susceptible and vulnerable to drought due to its type of climate. In the last four decades …
Understanding deep learning in land use classification based on Sentinel-2 time series
The use of deep learning (DL) approaches for the analysis of remote sensing (RS) data is
rapidly increasing. DL techniques have provided excellent results in applications ranging …
rapidly increasing. DL techniques have provided excellent results in applications ranging …
Quality assessment of PROBA-V LAI, fAPAR and fCOVER collection 300 m products of copernicus global land service
B Fuster, J Sánchez-Zapero, F Camacho… - Remote Sensing, 2020 - mdpi.com
The Copernicus Global Land Service (CGLS) provides global time series of leaf area index
(LAI), fraction of absorbed photosynthetically active radiation (fAPAR) and fraction of …
(LAI), fraction of absorbed photosynthetically active radiation (fAPAR) and fraction of …
Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China
Over the last decade, a series of global moderate resolution leaf area index (LAI) products
have become available and been widely applied in many disciplines. At the same time …
have become available and been widely applied in many disciplines. At the same time …
Validation of sentinel-2 leaf area index (LAI) product derived from SNAP toolbox and its comparison with global LAI products in an African semi-arid agricultural …
This study validated SNAP-derived LAI from Sentinel-2 and its consistency with existing
global LAI products. The validation and inter-comparison experiments were performed on …
global LAI products. The validation and inter-comparison experiments were performed on …
Global estimation of biophysical variables from Google Earth Engine platform
This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI),
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation …
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation …
Crop growth monitoring through Sentinel and Landsat data based NDVI time-series
Crop growth monitoring is an important phenomenon for agriculture classification, yield
estimation, agriculture field management, improve productivity, irrigation, fertilizer …
estimation, agriculture field management, improve productivity, irrigation, fertilizer …
Evaluation of global decametric-resolution LAI, FAPAR and FVC estimates derived from Sentinel-2 imagery
Global biophysical products at decametric resolution derived from Sentinel-2 imagery have
emerged as a promising dataset for fine-scale ecosystem modeling and agricultural …
emerged as a promising dataset for fine-scale ecosystem modeling and agricultural …
[HTML][HTML] GEOV2: improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km copernicus global land products
Essential vegetation variables including leaf area index (LAI), fraction of absorbed
photosynthetic active radiation (FAPAR) and fraction of green vegetation cover (FCover) are …
photosynthetic active radiation (FAPAR) and fraction of green vegetation cover (FCover) are …