Soil moisture and irrigation mapping in a semi-arid region, based on the synergetic use of Sentinel-1 and Sentinel-2 data
This paper presents a technique for the mapping of soil moisture and irrigation, at the scale
of agricultural fields, based on the synergistic interpretation of multi-temporal optical and …
of agricultural fields, based on the synergistic interpretation of multi-temporal optical and …
Multiscale drought monitoring and comparison using remote sensing in a Mediterranean arid region: a case study from west-central Morocco
During the last few decades, the frequency of drought has significantly increased in Morocco
especially for arid and semi-arid regions, leading to a rising of several environmental and …
especially for arid and semi-arid regions, leading to a rising of several environmental and …
Soil surface moisture estimation over a semi-arid region using ENVISAT ASAR radar data for soil evaporation evaluation
The present paper proposes a method for the evaluation of soil evaporation, using soil
moisture estimations based on radar satellite measurements. We present firstly an approach …
moisture estimations based on radar satellite measurements. We present firstly an approach …
Assessing irrigation water use with remote sensing-based soil water balance at an irrigation scheme level in a semi-arid region of Morocco
This study aims to evaluate a remote sensing-based approach to allow estimation of the
temporal and spatial distribution of crop evapotranspiration (ET) and irrigation water …
temporal and spatial distribution of crop evapotranspiration (ET) and irrigation water …
Irrigation timing retrieval at the plot scale using Surface Soil Moisture derived from Sentinel time series in Europe
The difficulty of calculating the daily water budget of irrigated fields is often due to the
uncertainty surrounding irrigation amounts and timing. The automated detection of irrigation …
uncertainty surrounding irrigation amounts and timing. The automated detection of irrigation …
Monitoring irrigation consumption using high resolution NDVI image time series: Calibration and validation in the Kairouan Plain (Tunisia)
Water scarcity is one of the main factors limiting agricultural development in semi-arid areas.
Remote sensing has long been used as an input for crop water balance monitoring. The …
Remote sensing has long been used as an input for crop water balance monitoring. The …
Integrated water management under climate change through the application of the WEAP model in a Mediterranean arid region
This research aims at establishing an integrated modelling framework to assess the impact
of climate change on water supply and demand across an arid area in the western Haouz …
of climate change on water supply and demand across an arid area in the western Haouz …
A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions
P Laluet, L Olivera-Guerra, V Rivalland… - … Modelling & Software, 2023 - Elsevier
FAO-56 dual crop coefficient (FAO-2Kc) based model are increasingly applied at large scale
for agricultural water monitoring, requiring field-scale data over the spatial extent of interest …
for agricultural water monitoring, requiring field-scale data over the spatial extent of interest …
Uncovering current and future variations of irrigation water use across China using machine learning
Accurately characterizing changes in irrigation water use (IWU) is crucial for formulating
optimal water resource allocation policies, particularly in the context of climate change …
optimal water resource allocation policies, particularly in the context of climate change …
Assessment of actual evapotranspiration over a semiarid heterogeneous land surface by means of coupled low-resolution remote sensing data with an energy …
In semiarid areas, agricultural production is restricted by water availability; hence, efficient
agricultural water management is a major issue. The design of tools providing regional …
agricultural water management is a major issue. The design of tools providing regional …