Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications
Crop monitoring information is essential for food security and to improve our understanding
of the role of agriculture on climate change, among others. Remotely sensing optical and …
of the role of agriculture on climate change, among others. Remotely sensing optical and …
remote sensing data for digital soil mapping in French research—a review
Soils are at the crossroads of many existential issues that humanity is currently facing. Soils
are a finite resource that is under threat, mainly due to human pressure. There is an urgent …
are a finite resource that is under threat, mainly due to human pressure. There is an urgent …
Available water capacity from a multidisciplinary and multiscale viewpoint. A review
Soil–plant–atmosphere models and certain land surface models usually require information
about the ability of soils to store and release water. Thus, a critical soil parameter for such …
about the ability of soils to store and release water. Thus, a critical soil parameter for such …
A monthly distributed agro-hydrological model for irrigation district in arid region with shallow groundwater table
Agro-hydrological processes in arid irrigation districts mainly include precipitation, water
diversion, irrigation, drainage, evapotranspiration (ET), and soil water and groundwater flow …
diversion, irrigation, drainage, evapotranspiration (ET), and soil water and groundwater flow …
Exploring the critical zone heterogeneity and the hydrological diversity using an integrated ecohydrological model in three contrasted long‐term observatories
An integrated ecohydrological modeling approach was deployed in three long‐term critical
zone (CZ) observatories of the French CZ network (CZ Observatories—Application and …
zone (CZ) observatories of the French CZ network (CZ Observatories—Application and …
Investigating drought and flood evolution based on remote sensing data products over the Punjab region in Pakistan
Over the last five decades, Pakistan experienced its worst drought from 1998 to 2002 and its
worst flood in 2010. This study determined the record-breaking impacts of the droughts …
worst flood in 2010. This study determined the record-breaking impacts of the droughts …
Estimating soil available water capacity within a Mediterranean vineyard watershed using satellite imagery and crop model inversion
Soil available water capacity (SAWC) is a key factor to be considered when assessing soil
capability to provide ecosystem services. The current study deepens the use of remotely …
capability to provide ecosystem services. The current study deepens the use of remotely …
[HTML][HTML] Soil moisture estimation for winter-wheat waterlogging monitoring by assimilating remote sensing inversion data into the distributed hydrology soil vegetation …
X Zhang, X Yuan, H Liu, H Gao, X Wang - Remote Sensing, 2022 - mdpi.com
Waterlogging crop disasters are caused by continuous and excessive soil water in the upper
layer of soil. In order to enable waterlogging monitoring, it is important to collect continuous …
layer of soil. In order to enable waterlogging monitoring, it is important to collect continuous …
Estimation of available water capacity components of two-layered soils using crop model inversion: Effect of crop type and water regime
Abstract Characterization of the soil water reservoir is critical for understanding the
interactions between crops and their environment and the impacts of land use and …
interactions between crops and their environment and the impacts of land use and …
[HTML][HTML] Why make inverse modeling and which methods to use in agriculture? A review
Inverse modeling (IM) is a valuable tool in agriculture for estimating model parameters that
aid in decision-making. It is particularly useful when parameters cannot be directly …
aid in decision-making. It is particularly useful when parameters cannot be directly …