Zonation of Flood-Prone Areas Based on Remote Sensing Data and Hydrodynamic Models

Autor: Samsul Bachri, Arif Faisol

Publikováno v: Jurnal Teknik Pertanian Lampung, Vol 12, Iss 2, Pp 509-523 (2023)

Many watersheds in Manokwari are classified as flood-prone areas with a frequency of more than 1 flood per year. Limited rain stations and climate stations make it difficult to the zoning of flood-prone areas. This study aims to utilize remote sensin

Externí odkaz: https://doaj.org/article/449810abd5f544c89ec55577ce26b29a

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Assessment of satellite rainfall products for stream flow simulation in Gambia watershed

Autor: FATY Bakary, ALI Abdou, DACOSTA Honoré, BODIAN Ansoumana, DIOP Salif, DESCROIX Luc

Publikováno v: African Journal of Environmental Science and Technology
African Journal of Environmental Science and Technology, 2018, 12 (12), pp.501-513. ⟨10.5897/AJEST2018.2551⟩

Satellite rainfall estimates (SRE) with high spatial and temporal resolution and large areal coverage provide a potential alternative source to force hydrological models within regions where ground-based measurements are not readily available. The Ga

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::124469e5e463dc8b908bc15807888f74
https://hal.ird.fr/ird-02153112/document

Evaluating meteorological data from weather stations, and from satellites and global models for a multi-site epidemiological study

Autor: Josh M, Colston, Tahmeed, Ahmed, Cloupas, Mahopo, Gagandeep, Kang, Margaret, Kosek, Francisco, de Sousa Junior, Prakash Sunder, Shrestha, Erling, Svensen, Ali, Turab, Benjamin, Zaitchik

Publikováno v: Environmental Research

Background Longitudinal and time series analyses are needed to characterize the associations between hydrometeorological parameters and health outcomes. Earth Observation (EO) climate data products derived from satellites and global model-based reana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::f95ae06a1349323c411dddc5334e4a23
https://pubmed.ncbi.nlm.nih.gov/29684739