Zobrazeno 1 - 7
of 7
pro vyhledávání: '"ALFRED HOMERE NGANDAM MFONDOUM"'
Publikováno v:
Annals of GIS, Vol 0, Iss 0, Pp 1-24 (2022)
This paper explores a spectral vector-based methodology on Landsat 8 bands of the visible wavelengths, that is deep-blue (1) to shortwave infrared (7), to improve the urban land features classification. Using two different ratio models, based on two
Externí odkaz:
https://doaj.org/article/a48d8133745f4c6d8e94ff4e958beaae
Autor:
Sofia Hakdaoui, Anas Emran, Biswajeet Pradhan, Abdeljebbar Qninba, Taoufik El Balla, Alfred Homère Ngandam Mfondoum, Chang-Wook Lee, Abdullah M. Alamri
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 131 (2020)
Imlili Sebkha is a stable and flat depression in southern Morocco that is more than 10 km long and almost 3 km wide. This region is mainly sandy, but its northern part holds permanent water pockets that contain fauna and flora despite their hypersali
Externí odkaz:
https://doaj.org/article/b428e4edb06144a2b9e1db60578d7446
Autor:
ALFRED HOMERE NGANDAM MFONDOUM, Pauline Wokwenmendam Nguet, Jean Valery Mefire Mfondoum, Mesmin Tchindjang, Sofia Hakdaoui, Ryan Cooper, Paul Gérard Gbetkom, Joseph Penaye, Ateba Bekoa, Cyriel Moudioh
Background – NASA’s developers recently proposed the Sudden Landslide Identification Product (SLIP) and Detecting Real-Time Increased Precipitation (DRIP) algorithms. This method uses the Landsat 8 satellite images and daily rainfall recordings f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c9b34f5cc0dde5e089c9a29d93880c4
https://doi.org/10.21203/rs.3.rs-19292/v4
https://doi.org/10.21203/rs.3.rs-19292/v4
Autor:
ALFRED HOMERE NGANDAM MFONDOUM, Pauline Wokwenmendam Nguet, Jean Valery Mefire Mfondoum, Mesmin Tchindjang, Sofia Hakdaoui, Ryan Cooper, Paul Gérard Gbetkom, Joseph Penaye, Ateba Bekoa, Cyriel Moudioh
Background – The SLIP and DRIP algorithms recently developed correlate Landsat 8 images and local daily precipitation records to map and time rainfall-triggered landslides. In many areas recently affected by that geohazard in west-Cameroon’s high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18402a77ce5ad7542b3594c808bb5335
https://doi.org/10.21203/rs.3.rs-19292/v1
https://doi.org/10.21203/rs.3.rs-19292/v1
Autor:
Alfred Homère Ngandam Mfondoum, Pauline Wokwenmendam Nguet, Dieudonné Tchokona Seuwui, Jean Valéry Mefire Mfondoum, Henry Bang Ngenyam, Ibrahima Diba, Mesmin Tchindjang, Bertin Djiangoue, Ali Mihi, Sofia Hakdaoui, Roseline Batcha, Frédéric Chamberlain Lounang Tchatchouang, Igor Casimir Njombissie Petcheu, Luc Moutila Beni
Publikováno v:
Geoenvironmental Disasters, Vol 10, Iss 1, Pp 1-27 (2023)
Abstract Background The Cameroon Volcanic Line (CVL) is an oceanic-continental megastructure prone to geo-hazards, including landslide/mudslide, gully erosion and flash floods targeted in this paper. Recent geospatial practices advocated a multi-haza
Externí odkaz:
https://doaj.org/article/ea4a85342ac6477899509b91de68dc81
Autor:
ALFRED HOMERE NGANDAM MFONDOUM, Gbetkom, Paul, Ryan Cooper (Erik Jonsson School Of Engineering And Computer Science UTD Dallas USA), Sofia Hakdaoui (Mohammed V University Rabat Morocco), Nguet, Pauline Wokwenmendam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c91aaf0d8eebcea96c6217e68bb0b73
Autor:
Alfred Homère Ngandam Mfondoum, Pauline Wokwenmendam Nguet, Jean Valery Mefire Mfondoum, Mesmin Tchindjang, Sofia Hakdaoui, Ryan Cooper, Paul Gérard Gbetkom, Joseph Penaye, Ateba Bekoa, Cyriel Moudioh
Publikováno v:
Geoenvironmental Disasters, Vol 8, Iss 1, Pp 1-26 (2021)
Abstract Background NASA’s developers recently proposed the Sudden Landslide Identification Product (SLIP) and Detecting Real-Time Increased Precipitation (DRIP) algorithms. This double method uses Landsat 8 satellite images and daily rainfall data
Externí odkaz:
https://doaj.org/article/74a06cd2e04743d08dbd6e0fecc5d023