Results 51 to 60 of about 3,376 (207)

From Prediction to Prevention: An Explainable GeoAI Framework for Flood Susceptibility and Urban Exposure Assessment Using Machine and Deep Learning Models

Sustainable Development, EarlyView.
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella, Izni Zahidi, Chow Ming Fai, Chukwuma Okolie, Quoc Bao Pham   +4 more
wiley   +1 more source

Rift Valley fever vector diversity and impact of meteorological and environmental factors on Culex pipiens dynamics in the Okavango Delta, Botswana [PDF]

, 2016
Background: In Northern Botswana, rural communities, livestock, wildlife and large numbers of mosquitoes cohabitate around permanent waters of the Okavango Delta.
Chevalier, Véronique, Hammami, Pachka, Jori, Ferran, Kemp, Alan, Kgori, Patrick M., Paweska, Janusz, Tran, Annelise, Tshikae, Power   +7 more
core   +3 more sources

Development of a Multi-Index Method Based on Landsat Reflectance Data to Map Open Water in a Complex Environment

Remote Sensing, 2022
Mapping surface water extent is important for managing water supply for agriculture and the environment. Remote sensing technologies, such as Landsat, provide an affordable means of capturing surface water extent with reasonable spatial and temporal ...
Catherine Ticehurst, Jin Teng, Ashmita Sengupta   +2 more
doaj   +1 more source

Tsunami Vulnerability and Risk Assessment in Banyuwangi District using machine learning and Landsat 8 image data [PDF]

, 2023
The tsunami is a disaster that often occurs in Indonesia, there are no valid indicators to assess and monitor coastal areas based on functional land use and based on land cover which refers to the biophysical characteristics of the earth's surface.
Prasetyo, Sri Yulianto Joko, Sembiring, Irwan, wibowo, Gallen cakra adhi   +2 more
core   +3 more sources

MNDWI and BSI for Monitoring Land Degradation in Gresik Regency

IOP Conference Series: Earth and Environmental Science
Abstract Land degradation or land productivity declined in Indonesia, reaching 25.1% in 2014. However, in East Java, land degradation showed a downward trend from 2006 to 2018. This land degradation process was expected to affect the condition of agriculture and plantations in the region.
F. N. S. Herlita, null Jumadi, A. A. Sigit, D. N. Sari   +3 more
openaire   +1 more source

Rapidly declining seagrass meadows in Brazil: Findings from satellite imagery and local knowledge

People and Nature, Volume 8, Issue 5, Page 1155-1171, May 2026.
Abstract Due to the limitations of individual monitoring approaches, integrating social perceptions with multiple advanced technologies provides a new opportunity to gain a comprehensive understanding of ecosystem degradation. We combined historical aerial mapping, satellite imagery, semi‐structured interviews with local stakeholders, and a bilingual ...
Karine Matos Magalhães, Emma Deeks, Aline da Silva Cerqueira, Gabriel Henrique Ferreira Silva, Fabiana Aguiar Santos, Terry Dawson, Pavel Kratina   +6 more
wiley   +1 more source

Water body extraction and change detection using time series: A case study of Lake Burdur, Turkey

Journal of Taibah University for Science, 2017
In this study, spatiotemporal changes in Lake Burdur from 1987 to 2011 were evaluated using multi-temporal Landsat TM and ETM+ images. Support Vector Machine (SVM) classification and spectral water indexing, including the Normalized Difference Water ...
Gulcan Sarp, Mehmet Ozcelik
doaj   +1 more source

Unequal Land and Water Changes Between Nations Driven by International Boundary Rivers: Mapping and Temporal Analysis of Shared Borders Between China and Its Neighbors

Earth's Future, Volume 14, Issue 4, April 2026.
Abstract International Boundary Rivers (IBRs), as natural political frontiers, constitute one‐third of China's land borders. However, a lack of systematic monitoring has led to a limited understanding of the distribution of these politically significant rivers and the potential risks posed by their dynamic nature.
Shengquan Lu, Bin Wu, Wenzhu Zhang, Xiangying Kong, Guanhai Gu, Kai Jiang   +5 more
wiley   +1 more source

Can Water-Detection Indices Be Reliable Proxies for Water Discharges in Mid-Sized Braided Rivers Using Coarse-Resolution Landsat Archives?

Remote Sensing, 2023
The use of water detection (WD) indices to infer daily discharge (Qd) has a great potential to enrich needed hydrological data for understanding fluvial processes driving the morphological changes of braided rivers. However, no consensus has been reached
Peng Gao, Barbara Belletti, Hervé Piégay, Yuchi You, Zhiwei Li   +4 more
doaj   +1 more source

A multi-sensor data-driven methodology for all-sky passive microwave inundation retrieval [PDF]

, 2017
We present a multi-sensor Bayesian passive microwave retrieval algorithm for flood inundation mapping at high spatial and temporal resolutions. The algorithm takes advantage of observations from multiple sensors in optical, short-infrared, and microwave ...
Ebtehaj, Ardeshir M, Foufoula-Georgiou, Efi, Takbiri, Zeinab   +2 more
core   +2 more sources