Results 101 to 110 of about 1,769 (150)

Hybrid spatiotemporal modeling of nutrient cycling in wetland ecosystems using advanced mapping techniques and machine learning approaches. [PDF]

Sci Rep
Salas EAL, Schrack K, Kumaran SS, Bennett R.   +3 more
europepmc   +1 more source

Development of a stream DTM generation methodology using UAV-based SfM and LiDAR point cloud. [PDF]

Sci Rep
Gou J, Lee H, Park J, Jang S, Lee N, Song I.   +5 more
europepmc   +1 more source

Mapping and modelling land degradation vulnerability in a semi-arid region: a case study from Battalgazi District, Turkiye. [PDF]

PeerJ
Kılıç M.
europepmc   +1 more source

K-means clustering applied to vegetation indices for mapping cultivated areas using high-resolution Moroccan Mohammed VI satellite imagery. [PDF]

Sci Rep
Moussaid A, Bayad M, Gamoussi Y, El Hamdouni Y, Briak H.   +4 more
europepmc   +1 more source

Urbanization and Its Environmental Impact in Ceredigion County, Wales: A 20-Year Remote Sensing and GIS-Based Assessment (2003-2023). [PDF]

Sensors (Basel)
Younis MW, Akpokodje E, Jilani SF.
europepmc   +1 more source

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India. [PDF]

Sci Rep
Badapalli PK, Nakkala AB, Pujari PS, Gugulothu S, Kottala RB, Mannala P, Alkhuraiji WS, Thamaga KH, Zhran M.   +8 more
europepmc   +1 more source

Degradation trends in lakes and wetlands of Iran and their contribution to dust pollution. [PDF]

Sci Rep
Samadi-Todar SA, Ebrahimi-Khusfi Z, Ebrahimi-Khusfi M.   +2 more
europepmc   +1 more source

Inversion of kiwifruit canopy nitrogen using UAV multispectral technology and ensemble learning. [PDF]

Front Plant Sci
Zhou B, Wang Y, Zhang J, Bai X, Tian M, Guo R.   +5 more
europepmc   +1 more source

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages. [PDF]

Sci Rep
Navidi MN, Fazli E, Kharazmi R, Seyedmohammadi J.   +3 more
europepmc   +1 more source

RS-WaterQuality Mapper: an open-source water quality remote sensing toolbox in QGIS. [PDF]

Earth Sci Inform
Su H, Liu H, Wang L, Miliutina E, Men J, Tian D, Lu Y, Shu S, Beck R, Premsagar A.   +9 more
europepmc   +1 more source