[HTML][HTML] Comparing different classification algorithms for monitoring mangrove cover changes in southern Iran
NB Toosi, AR Soffianian, S Fakheran… - Global Ecology and …, 2019 - Elsevier
Mangrove forests in Iran are highly productive and complex ecosystems since they
represent the interface between land and sea. They are a unique environment for supporting …
represent the interface between land and sea. They are a unique environment for supporting …
Estimating leaf nitrogen content in corn based on information fusion of multiple-sensor imagery from UAV
With the rapid development of unmanned aerial vehicle (UAV) and sensor technology, UAVs
that can simultaneously carry different sensors have been increasingly used to monitor …
that can simultaneously carry different sensors have been increasingly used to monitor …
Spatiotemporal mapping and monitoring of mangrove forests changes from 1990 to 2019 in the Northern Emirates, UAE using random forest, Kernel logistic …
Mangrove forests are acting as a green lung for the coastal cities of the United Arab
Emirates, providing a habitat for wildlife, storing blue carbon in sediment and protecting …
Emirates, providing a habitat for wildlife, storing blue carbon in sediment and protecting …
Estimating canopy structure and biomass in bamboo forests using airborne LiDAR data
The Bamboo species accounts for almost 1% of the Earth's forested area with an
exceptionally fast growth peaking up to 7.5–100 cm per day during the growing period …
exceptionally fast growth peaking up to 7.5–100 cm per day during the growing period …
A look inside the Pl@ ntNet experience: The good, the bias and the hope
Pl@ ntNet is an innovative participatory sensing platform relying on image-based plants
identification as a mean to enlist non-expert contributors and facilitate the production of …
identification as a mean to enlist non-expert contributors and facilitate the production of …
Comparison of classification algorithms for detecting typical coastal reclamation in Guangdong Province with Landsat 8 and Sentinel 2 images
Coastal reclamation in Guangdong Province is highly concentrated and is growing rapidly.
However, intensive reclamation use has resulted in serious influence on the coastal …
However, intensive reclamation use has resulted in serious influence on the coastal …
[HTML][HTML] Machine learning methods: Modeling net growth in the Atlantic Forest of Brazil
SJSS da Rocha, CMME Torres, PH Villanova… - Ecological …, 2024 - Elsevier
Tree growth models are an important and essential part of modeling forest dynamics and
valuable tools for management planning and biodiversity conservation strategies. We …
valuable tools for management planning and biodiversity conservation strategies. We …
Spatial distribution of soil organic carbon in mangroves of arid environment estimated from in situ data and aerial imagery
J Aviña-Hernández, E Serviere-Zaragoza… - Journal of Soil Science …, 2022 - Springer
The purpose of this study is to describe spatial distribution of soil organic carbon (SOC) in
mangroves of arid environment and its variability related to the species of mangrove using …
mangroves of arid environment and its variability related to the species of mangrove using …
Pixel-based crop classification in Peru from Landsat 7 ETM+ images using a Random Forest model
K Tatsumi, Y Yamashiki, AKM MORANTE… - Journal of Agricultural …, 2016 - jstage.jst.go.jp
Crop classification within large agricultural regions is challenging owing to the presence of
crops with similar phenological variation and intra-class variability. The development of …
crops with similar phenological variation and intra-class variability. The development of …
Amphibian species detection in water reservoirs using artificial neural networks for ecology-friendly city planning
ZK Senturk - Ecological Informatics, 2022 - Elsevier
Planning cities regardless of natural resources has led to the existence of threats for several
species that occupy an important place in local ecosystems. Constructing buildings, bridges …
species that occupy an important place in local ecosystems. Constructing buildings, bridges …