Decision tree and random forest classification algorithms for mangrove forest map** in Sembilang National Park, Indonesia
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 …
vulnerable to disturbance by community activities. Changes in the dynamic condition of …
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 …
increasingly used in coffee cultivation because of environmental benefits, adaptability of the …
Map** smallholder cashew plantations to inform sustainable tree crop expansion in Benin
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 …
principal source of income. Expanding the area of cashew plantations and increasing …
Forest fire smoke detection research based on the random forest algorithm and sub-pixel map** 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 …
methods, this research employed Himawari-8 data with a sub-pixel positioning concept in …
Monitoring tea plantations during 1990–2022 using multi-temporal satellite data in Assam (India)
Background Tea is a valuable economic plant grown extensively in several Asian countries.
The accurate map** of tea plantations is critical for the growth and development of the tea …
The accurate map** of tea plantations is critical for the growth and development of the tea …
Comparison of UAV-based LiDAR and digital aerial photogrammetry for measuring crown-level canopy height in the urban environment
Spatial information on urban forest canopy height (FCH) is fundamental for urban forest
monitoring and assisting urban planning and management. Traditionally, ground-based …
monitoring and assisting urban planning and management. Traditionally, ground-based …
Deep learning model development for detecting coffee tree changes based on Sentinel-2 imagery in Vietnam
Scientists and land managers have spent considerable time and resources monitoring
coffee forests in the great basalt plateau. Deep learning models for coffee classification …
coffee forests in the great basalt plateau. Deep learning models for coffee classification …
[HTML][HTML] 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. Map** coffee land
cover is still a challenge because it is grown mainly on small areas in agroforestry systems …
cover is still a challenge because it is grown mainly on small areas in agroforestry systems …
[HTML][HTML] Understanding urban expansion and shrinkage via green plastic cover map** based on GEE cloud platform: A case study of Shandong, China
Abstract Green Plastic Cover (GPC) has been widely used in construction sites of China as
the main measure for dust suppression. As a unique land cover in China, GPC could be …
the main measure for dust suppression. As a unique land cover in China, GPC could be …
Applying random forest to oil and gas exploration in Central Sumatra basin Indonesia based on surface and subsurface data
Oil and gas exploration in Indonesia currently requires novel methods during the initial
screening of exploration areas that are effective, inexpensive, and utilize open data. This is …
screening of exploration areas that are effective, inexpensive, and utilize open data. This is …