In this study, we implemented a remote sensing-based approach for monitoring abandoned agricultural land in the Yarmouk River Basin (YRB) in Southern Syria and Northern Jordan during the Syrian crisis. A time series analysis for the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) was conducted using 1650 multi-temporal images from Landsat-5 and Landsat-8 between 1986 and 2021. We analyzed the agricultural phenological profiles and investigated the impact of the Syrian crisis on agricultural activities in YRB. The analysis was performed using JavaScript commands in Google Earth Engine. The results confirmed the impact of the Syrian crisis on agricultural land use. The phenological characteristics...
This study analyzed landscape changes in the Mediterranean using remotely sensed satellite images. B...
Military conflicts strongly affect agricultural activities. This has strong implications for people’...
Remote sensing data in combination with the appropriate multispectral bands such as Landsat OLI/TIR ...
In this study, we implemented a remote sensing-based approach for monitoring abandoned agricultural ...
The study goal is to monitor and evaluate the significant changes in land use/land cover (LULC) in A...
The refugee movement creates urban and environmental pressures at their destination locations. This ...
Land cover change and deforestation are important global ecosystem hazards. As for Syria, the curren...
© 2017 The Author(s). Published by IOP Publishing Ltd.Socio-economic shocks, technogenic catastrophe...
Land cover change and deforestation are important global ecosystem hazards. As for Syria, the curren...
A severe, multi year drought which began in 2006 had significant impacts on Syria\u27s food producin...
Understanding the effects of socio-ecological shocks on land use/land cover (LULC) change is essenti...
On November 4th, 2020 a deadly civil war broke out in Tigray, Ethiopia displacing close to 2 million...
Risks and uncertainties are unavoidable in agriculture in Sudan, due to its dependence on climatic f...
© 2019 by the authors. In this paper, multispectral and multi-temporal satellite data were used to a...
The degradation rate of Mediterranean steppes, especially in North Africa is 1% per year, and this c...
This study analyzed landscape changes in the Mediterranean using remotely sensed satellite images. B...
Military conflicts strongly affect agricultural activities. This has strong implications for people’...
Remote sensing data in combination with the appropriate multispectral bands such as Landsat OLI/TIR ...
In this study, we implemented a remote sensing-based approach for monitoring abandoned agricultural ...
The study goal is to monitor and evaluate the significant changes in land use/land cover (LULC) in A...
The refugee movement creates urban and environmental pressures at their destination locations. This ...
Land cover change and deforestation are important global ecosystem hazards. As for Syria, the curren...
© 2017 The Author(s). Published by IOP Publishing Ltd.Socio-economic shocks, technogenic catastrophe...
Land cover change and deforestation are important global ecosystem hazards. As for Syria, the curren...
A severe, multi year drought which began in 2006 had significant impacts on Syria\u27s food producin...
Understanding the effects of socio-ecological shocks on land use/land cover (LULC) change is essenti...
On November 4th, 2020 a deadly civil war broke out in Tigray, Ethiopia displacing close to 2 million...
Risks and uncertainties are unavoidable in agriculture in Sudan, due to its dependence on climatic f...
© 2019 by the authors. In this paper, multispectral and multi-temporal satellite data were used to a...
The degradation rate of Mediterranean steppes, especially in North Africa is 1% per year, and this c...
This study analyzed landscape changes in the Mediterranean using remotely sensed satellite images. B...
Military conflicts strongly affect agricultural activities. This has strong implications for people’...
Remote sensing data in combination with the appropriate multispectral bands such as Landsat OLI/TIR ...