Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …

S Tian, Y Zhong, Z Zheng, A Ma, X Tan… - ISPRS Journal of …, 2022 - Elsevier
With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …

Remote sensing approaches and mapping methods for monitoring soil salinity under different climate regimes

T Gorji, A Yıldırım, E Sertel, A Tanık - International Journal of …, 2019 - dergipark.org.tr
Soil salinization is one of the severe land-degradation problems due to its adverse effects on
land productivity. Each year several hectares of lands are degraded due to primary or …

Soil salinity analysis of Urmia Lake Basin using Landsat-8 OLI and Sentinel-2A based spectral indices and electrical conductivity measurements

T Gorji, A Yildirim, N Hamzehpour, A Tanik, E Sertel - Ecological Indicators, 2020 - Elsevier
Soil salinization is one of the significant soil degradation problems especially faced in arid
and semi-arid regions of the world. It poses a high threat to soil productivity in agricultural …

A deep learning convolutional neural network algorithm for detecting saline flow sources and mapping the environmental impacts of the Urmia Lake drought in Iran

B Feizizadeh, MK Garajeh, T Lakes, T Blaschke - Catena, 2021 - Elsevier
Abstract Urmia Lake in Northern Iran is drying up, which is causing significant environmental
problems in the region, including saline storms that devastate agricultural land. We …

An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran

MK Garajeh, F Malakyar, Q Weng, B Feizizadeh… - Science of the Total …, 2021 - Elsevier
Traditional soil salinity studies are time-consuming and expensive, especially over large
areas. This study proposed an innovative deep learning convolutional neural network (DL …

Land use/land cover change detection combining automatic processing and visual interpretation

JF Mas, R Lemoine-Rodríguez… - European Journal of …, 2017 - Taylor & Francis
This article presents a hybrid classification method combining image segmentation, GIS
analysis, and visual interpretation, and its application to elaborate a multi-date cartographic …

Salinity-induced desertification in oasis ecosystems: Challenges and future directions

AM Ali, HM Salem - Environmental Monitoring and Assessment, 2024 - Springer
Salinity-induced desertification is a pressing environmental issue that poses a significant
threat to the sustainability of oasis ecosystems worldwide. These ecosystems are vital to the …

Quantitative assessment of desertification in an arid oasis using remote sensing data and spectral index techniques

AA Lamqadem, H Saber, B Pradhan - Remote Sensing, 2018 - mdpi.com
Desertification is an environmental problem worldwide. Remote sensing data and technique
offer substantial information for mapping and assessment of desertification. Desertification is …

Can palm date plantations and oasification be used as a proxy to fight sustainably against desertification and sand encroachment in hot drylands?

A Mihi, N Tarai, H Chenchouni - Ecological Indicators, 2019 - Elsevier
Using GIS and remote sensing tools, the current dissertation shows the impact of agricultural
mutation in drylands and highlights the effect of date palm (Phoenix dactylifera) plantations …

Desiccation of a saline lake as a lock-in phenomenon: A socio-hydrological perspective

P Pouladi, AR Nazemi, M Pouladi, Z Nikraftar… - Science of the Total …, 2022 - Elsevier
Understanding of how anthropogenic droughts occur in socio-hydrological systems is critical
in studying resilience of these systems. This is especially relevant when a “lock-in” toward …