Mapping Mangrove Extent and Change: A Globally Applicable Approach [PDF]
This study demonstrates a globally applicable method for monitoring mangrove forest extent at high spatial resolution. A 2010 mangrove baseline was classified for 16 study areas using a combination of ALOS PALSAR and Landsat composite imagery within a ...
Bunting, Peter +5 more
core +1 more source
Data-driven and interpretable machine-learning modeling to explore the fine-scale environmental determinants of malaria vectors biting rates in rural Burkina Faso. [PDF]
Taconet P +9 more
europepmc +1 more source
Intelligent Object Recognition of Urban Water Bodies Based on Deep Learning for Multi-Source and Multi-Temporal High Spatial Resolution Remote Sensing Imagery. [PDF]
Song S +6 more
europepmc +1 more source
Monitoring sustainable urban development using builtup area indicators : a case study of Stellenbosch, South Africa [PDF]
Rapid urbanisation in many developing countries causes land transformation from agricultural, rural, and natural landscapes into urban areas. Data to monitor this transformation are often out of date, unreliable, not in standard format, cumbersome and ...
core +1 more source
Geographic Object-Based Analysis of Airborne Multispectral Images for Health Assessment of Capsicum annuum L. Crops. [PDF]
Sosa-Herrera JA +4 more
europepmc +1 more source
Deep learning model BiFPN-YOLOv8m for tree counting in mango orchards using satellite remote sensing data. [PDF]
Birla L +5 more
europepmc +1 more source
Climate-Triggered Insect Defoliators and Forest Fires Using Multitemporal Landsat and TerraClimate Data in NE Iran: An Application of GEOBIA TreeNet and Panel Data Analysis. [PDF]
Abdi O.
europepmc +1 more source
Mapping past land cover on Poitiers in 1993 at very high resolution using GEOBIA approach and open data. [PDF]
Morin E +5 more
europepmc +1 more source
Monitoring of granite quarries using deep learning and UAV photogrammetry in Bengaluru, India. [PDF]
Himmy O +3 more
europepmc +1 more source
A comprehensive transferability evaluation of U-Net and ResU-Net for landslide detection from Sentinel-2 data (case study areas from Taiwan, China, and Japan). [PDF]
Ghorbanzadeh O +4 more
europepmc +1 more source

