Results 171 to 180 of about 14,824 (269)

Shuttle Radar Topography Mission (SRTM) [PDF]

Fact Sheet, 2009
openaire   +1 more source

Population expansion of early Upper Palaeolithic hunter-gatherers triggered cultural complexity on Paleo-Honshu Island, Japan. [PDF]

Nat Commun
Totsuka S, Morisaki K, Izuho M, Sano K.
europepmc   +1 more source

Aplicações dos modelos de elevação SRTM em geomorfologia

A missão Shuttle Radar Topography Mission (SRTM) foi realizada para mapear o relevo da área continental da Terra com interferometria de radar entre 60º de latitude norte e 54º de latitude sul.
Riccomini, Claudio, Steiner, Samar dos Santos, Grohmann, Carlos Henrique   +2 more
core  

Climate and land use change potentially drives southern range contraction and latitudinal shift in Caucasian Lynx. [PDF]

Sci Rep
Shahsavarzadeh R, Hemami MR, Breitenmoser U, Adibi MA, Mengüllüoğlu D, Ahmadi M.   +5 more
europepmc   +1 more source

Remote sensing assessment of vegetation and moisture dynamics in semi-arid regions. [PDF]

Sci Rep
Kreri S, Farhi N, Bennia A, Derdour A, Kébir LW, Alharbi KM, Bojer AK, Arafat AA.   +7 more
europepmc   +1 more source

Spatiotemporal analysis of urban expansion and environmental impacts in five Saudi Arabian cities by utilizing geospatial and remote sensing approach. [PDF]

PLoS One
Shohan AAA, Kafy AA, Alsulamy S, Miah MT, Fariha JN, Khan MHAH, Baky AA.   +6 more
europepmc   +1 more source

Data-driven flood susceptibility assessment using hybrid machine learning and optimization techniques: case of the Sedrata Watershed, NE Algeria. [PDF]

Sci Rep
Mechentel E, Dairi S, Lefkir A, Eslamian S, Abida H, Djebbar Y.   +5 more
europepmc   +1 more source

Canada1Water digital terrain model with bathymetry dataset. [PDF]

Data Brief
Kessel ED, Frey SK, Russell HAJ.
europepmc   +1 more source

A novel deep learning based spatial ensemble approach and segment anything model for landslide risk assessment in Chamoli district of Garhwal Himalayas. [PDF]

Sci Rep
Mandal S, Saha AK.
europepmc   +1 more source

A 30 m vegetation map for the source regions of the Yangtze and Yellow Rivers from 2020-2025 ground surveys. [PDF]

Sci Data
Zou D, Wu X, Hu G, Wu T, Jin Q, Chen L, Bian Y, Wang C, Lan Y, Zhao L, Li Z.   +10 more
europepmc   +1 more source