[HTML][HTML] A dual-branch weakly supervised learning based network for accurate map** of woody vegetation from remote sensing images

Y Cheng, S Lan, X Fan, T Tjahjadi, S **… - International Journal of …, 2023 - Elsevier
Map** woody vegetation from aerial images is an important task bluein environment
monitoring and management. A few studies have shown that semantic segmentation …

Reliable water quality prediction and parametric analysis using explainable AI models

MK Nallakaruppan, E Gangadevi, ML Shri… - Scientific Reports, 2024 - nature.com
The consumption of water constitutes the physical health of most of the living species and
hence management of its purity and quality is extremely essential as contaminated water …

Sustainability assessment of mangrove management in Madura Strait, Indonesia: A combined use of the rapid appraisal for mangroves (RAPMangroves) and the …

Z Hidayah, AR As-syakur, HA Rachman - Marine Policy, 2024 - Elsevier
Indonesia is one of the countries that has the largest mangrove forest in the world. However,
degradation of this ecosystem is still happening in many coastal regions, therefore it is …

[HTML][HTML] Land Use Change Impacts over the Indus Delta: A Case Study of Sindh Province, Pakistan

M Masood, C He, SA Shah, SAU Rehman - Land, 2024 - mdpi.com
Land use and land cover changes (LULCCs) are vital indicators for assessing the dynamic
relationship between humans and nature, particularly in diverse and evolving landscapes …

Predictive performance of random forest on the identification of mangrove species in arid environments

J Aviña-Hernández, M Ramírez-Vargas… - Ecological …, 2023 - Elsevier
Abstract Machine learning methods are the most popular approaches for carrying out
classification in remote sensing studies. Of the methods available, random forest (RF) is the …

Towards understanding climate change impacts: monitoring the vegetation dynamics of terrestrial national parks in Indonesia

F Ramdani, P Setiani, R Sianturi - Scientific Reports, 2024 - nature.com
Monitoring vegetation dynamics in terrestrial national parks (TNPs) is crucial for ensuring
sustainable environmental management and mitigating the potential negative impacts of …

Mangrove cover change (2005–2019) in the Northern of Medan City, North Sumatra, Indonesia

Rahmawaty, J Siahaan, A Nuryawan… - Geocarto …, 2023 - Taylor & Francis
Medan City is the third-largest city in Indonesia and serves as the capital of North Sumatra
Province. The city has several sub-districts with mangrove forests, with the largest area …

Mangrove Species Classification from Unmanned Aerial Vehicle Hyperspectral Images Using Object-Oriented Methods Based on Feature Combination and …

F Ye, B Zhou - Sensors, 2024 - mdpi.com
Accurate and timely acquisition of the spatial distribution of mangrove species is essential
for conserving ecological diversity. Hyperspectral imaging sensors are recognized as …

Integration of machine learning and remote sensing for assessing the change detection of mangrove forests along the Mumbai coast

S Sawant, P Bonala, A Joshi, M Shindikar… - Journal of Earth System …, 2024 - Springer
Mangrove forests, being high-yielding ecosystems, often dominate the intertidal sites along
equatorial and subtropical coasts. Despite the known significance of mangroves to the …

Mangrove species classification using novel adaptive ensemble learning with multi-spatial-resolution multispectral and full-polarization SAR images

B Fu, H Kuang, Y Wu, T Deng, W Sun… - … Journal of Digital …, 2024 - Taylor & Francis
Mangroves are one of the important components of Earth's carbon sinks. The current
problems of base-model composition strategy of ensemble learning and image features …