Results 131 to 140 of about 17,654,855 (215)

Quad‑polarization synthetic aperture radar dataset for marine oil spill and look‑alike segmentation. [PDF]

Data Brief
Jamal S, Sun G, Li Y, Khan AQ.
europepmc   +1 more source

Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing. [PDF]

Sensors (Basel)
Wang H, Liu X, Feng G, Liu P, Li W, Liu S, Liao W.   +6 more
europepmc   +1 more source

Landslide velocity mapping using ALOS-2 PALSAR-2 ScanSAR data

Procedia Computer Science
Urs Wegmüller, Christophe Magnard, Tazio Strozzi, Rafael Caduff, Nina Jones   +4 more
openaire   +1 more source

Mapping of potential storages and rainwater harvesting sites in arid region of Indus basin using analytical hierarchy technique. [PDF]

Sci Rep
Hafeez MM, Cheema MJM, Liaqat UW, Amin M, Usman M.   +4 more
europepmc   +1 more source

Characterization of paleodrainages in desert regions of Saudi Arabia multisatellite images with field based study. [PDF]

Sci Rep
Al Saud MM.
europepmc   +1 more source

A robust edge-detection approach for precise delineation of deep structures from potential field data: Structural insights supported by remote sensing. [PDF]

Sci Rep
Eldosouky AM, Saada SA, Allam SA, El-Gawad AA, Henaish A, Zamzam S.   +5 more
europepmc   +1 more source

A combined analysis of frequency ratio and analytical hierarchy process for landslide susceptibility assessment in Tenta, South Wollo, Ethiopia. [PDF]

Sci Rep
Ali A, Teku D, Sisay T, Mihret B.
europepmc   +1 more source

Machine learning model optimization for flood susceptibility zonation over the Kosi megafan, Himalayan foreland basin, India. [PDF]

Sci Rep
Arora A, Durga G P, Pandey M, Arabameri A.   +3 more
europepmc   +1 more source

Forest Vegetation of the Colombian Orinoquia: Characterization and Spatial Distribution Across Environmental Gradients. [PDF]

Plants (Basel)
Niño L, Rangel O, Giraldo-Cañas D, Sánchez-Mata D, Minorta-Cely V.   +4 more
europepmc   +1 more source

MaxEnt with remote sensing for tea plantation suitability under climate change. [PDF]

iScience
Wu S, Tian P, Zhu X, Dong H, Liu S.
europepmc   +1 more source