Decision tree and random forest classification algorithms for mangrove forest mapping in Sembilang National Park, Indonesia

AD Purwanto, K Wikantika, A Deliar, S Darmawan - Remote Sensing, 2022 - mdpi.com
Sembilang National Park, one of the best and largest mangrove areas in Indonesia, is very
vulnerable to disturbance by community activities. Changes in the dynamic condition of …

[HTML][HTML] Mapping smallholder cashew plantations to inform sustainable tree crop expansion in Benin

L Yin, R Ghosh, C Lin, D Hale, C Weigl… - Remote Sensing of …, 2023 - Elsevier
Cashews are grown by over 3 million smallholder farmers in> 40 countries worldwide as a
principal source of income. Expanding the area of cashew plantations and increasing …

Identification of coffee agroforestry systems using remote sensing data: a review of methods and sensor data

A Escobar-López, MÁ Castillo-Santiago… - Geocarto …, 2024 - Taylor & Francis
Coffee is one of the most important agricultural commodities. Agroforestry systems (AFS) are
increasingly used in coffee cultivation because of environmental benefits, adaptability of the …

Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment

L Zhou, R Meng, Y Tan, Z Lv, Y Zhao, B Xu… - Urban Forestry & Urban …, 2022 - Elsevier
Spatial information on urban forest canopy height (FCH) is fundamental for urban forest
monitoring and assisting urban planning and management. Traditionally, ground-based …

Monitoring tea plantations during 1990–2022 using multi-temporal satellite data in Assam (India)

BR Parida, T Mahato, S Ghosh - Tropical Ecology, 2024 - Springer
Background Tea is a valuable economic plant grown extensively in several Asian countries.
The accurate mapping of tea plantations is critical for the growth and development of the tea …

Forest fire smoke detection research based on the random forest algorithm and sub-pixel mapping method

X Li, G Zhang, S Tan, Z Yang, X Wu - Forests, 2023 - mdpi.com
In order to locate forest fire smoke more precisely and expand existing forest fire monitoring
methods, this research employed Himawari-8 data with a sub-pixel positioning concept in …

Deep learning model development for detecting coffee tree changes based on Sentinel-2 imagery in Vietnam

QT Le, KB Dang, TL Giang, THA Tong… - Ieee …, 2022 - ieeexplore.ieee.org
Scientists and land managers have spent considerable time and resources monitoring
coffee forests in the great basalt plateau. Deep learning models for coffee classification …

Identifying coffee agroforestry system types using multitemporal sentinel-2 data and auxiliary information

A Escobar-López, MÁ Castillo-Santiago… - Remote Sensing, 2022 - mdpi.com
Coffee is one of the most important agricultural commodities of Mexico. Mapping coffee land
cover is still a challenge because it is grown mainly on small areas in agroforestry systems …

[HTML][HTML] Enhancing Coffee Agroforestry Systems Suitability Using Geospatial Analysis and Sentinel Satellite Data in Gedeo Zone, Ethiopia

W Nigussie, H Al-Najjar, W Zhang… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
The Gedeo zone agroforestry systems are the main source of Ethiopia's coffee beans.
However, land-use and suitability analyses are not well documented due to complex …

A new application of the disturbance index for fire severity in coastal dunes

MD DaSilva, D Bruce, PA Hesp, G Miot da Silva - Remote Sensing, 2021 - mdpi.com
Fires are a disturbance that can lead to short term dune destabilisation and have been
suggested to be an initiation mechanism of a transgressive dune phase when paired with …