Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

A Tariq, J Yan, AS Gagnon, M Riaz Khan… - Geo-Spatial …, 2023 - Taylor & Francis
Mapping and monitoring the distribution of croplands and crop types support policymakers
and international organizations by reducing the risks to food security, notably from climate …

Flash flood susceptibility assessment and zonation by integrating analytic hierarchy process and frequency ratio model with diverse spatial data

A Tariq, J Yan, B Ghaffar, S Qin, BG Mousa, A Sharifi… - Water, 2022 - mdpi.com
Flash floods are the most dangerous kinds of floods because they combine the destructive
power of a flood with incredible speed. They occur when heavy rainfall exceeds the ability of …

An effective geospatial-based flash flood susceptibility assessment with hydrogeomorphic responses on groundwater recharge

A Tariq, LH Beni, S Ali, S Adnan… - Groundwater for …, 2023 - Elsevier
Floods are one of the most common natural disasters, resulting in the extensive destruction
of infrastructure, property, and human life. The destructive potential of a flood depends on …

[HTML][HTML] Drone imagery to create a common understanding of landscapes

F Kleinschroth, K Banda, H Zimba, S Dondeyne… - Landscape and Urban …, 2022 - Elsevier
Negotiated solutions among contrasting land use interests in the nexus of water, energy,
food and ecosystems require cooperation between actors with different viewpoints and …

Assessment power generation potential of small hydropower plants using GIS software

Y Tian, F Zhang, Z Yuan, Z Che, N Zafetti - Energy Reports, 2020 - econstor.eu
The hydropower stations are one of the most significant sources of renewable energy. In this
research, the identification of suitable locations for hydroelectric power stations installation …

Remotely sensed applications in monitoring the spatio-temporal dynamics of pools and flows along non-perennial rivers: a review

SE Maswanganye, T Dube, D Mazvimavi… - South African …, 2022 - journals.co.za
Non-perennial rivers (NPRs) account for more than 50% of the world's river network and
their occurrence is expanding. Some rivers that were previously classified as perennial have …

Modelling, quantification and estimation of the soil water erosion using the Revised Universal Soil Loss Equation with Sediment Delivery Ratio and the analytic …

B Fatima, H Rachid, EK Khalil… - Earth Surface …, 2024 - Wiley Online Library
This research used the Revised Universal Soil Loss Equation (RUSLE) with Sediment
Delivery Ratio (SDR) model. The analytic hierarchy process (AHP) method, while also …

Estimation of river flow using CubeSats remote sensing

AM Junqueira, F Mao, TSG Mendes… - Science of the Total …, 2021 - Elsevier
River flow characterizes the integrated response from watersheds, so it is essential to
quantify to understand the changing water cycle and underpin the sustainable management …

Drone-based bathymetry modeling for mountainous shallow rivers in Taiwan using machine learning

CH Lee, LW Liu, YM Wang, JM Leu, CL Chen - Remote Sensing, 2022 - mdpi.com
The river cross-section elevation data are an essential parameter for river engineering.
However, due to the difficulty of mountainous river cross-section surveys, the existing …

UAV thermal images for water presence detection in a Mediterranean headwater catchment

M Micieli, G Botter, G Mendicino, A Senatore - Remote Sensing, 2021 - mdpi.com
As Mediterranean streams are highly dynamic, reconstructing space–time water presence in
such systems is particularly important for understanding the expansion and contraction …