Artificial intelligence for computational remote sensing: quantifying patterns of land cover types around Cheetham Wetlands, Port Phillip Bay, Australia
P Lemenkova - Journal of Marine Science and Engineering, 2024 - papers.ssrn.com
This paper evaluates the potential of using artificial intelligence (AI) and machine learning
(ML) approaches for classification of Landsat satellite imagery for environmental coastal …
(ML) approaches for classification of Landsat satellite imagery for environmental coastal …
MLFA-Net: multi-level feature-aggregated network for semantic change detection in remote sensing images
The rapid advancement in Earth observation technologies has improved the acquisition of
precise data on terrestrial changes. However, traditional binary change detection (BCD) fails …
precise data on terrestrial changes. However, traditional binary change detection (BCD) fails …
[HTML][HTML] The Change Detection of Mangrove Forests Using Deep Learning with Medium-Resolution Satellite Imagery: A Case Study of Wunbaik Mangrove Forest in …
KS Win, J Sasaki - Remote Sensing, 2024 - mdpi.com
This paper presents the development of a U-Net model using four basic optical bands and
SRTM data to analyze changes in mangrove forests from 1990 to 2024, with an emphasis on …
SRTM data to analyze changes in mangrove forests from 1990 to 2024, with an emphasis on …
Automatic recognition of debris rock lithology based on unsupervised semantic segmentation
S Qin, Q Wang, Q Zeng, M Ye, A Fu, G Chen - Computers & Geosciences, 2025 - Elsevier
Accurate identification of lithology in debris rock is crucial for optimizing resource
development in geological exploration and the oil and gas industry. The traditional …
development in geological exploration and the oil and gas industry. The traditional …
Comparative Study of Different Classification Methods and Winner Takes All Approach
KMA Aziz, L Elsonbaty - Civil Engineering Journal, 2024 - civilejournal.org
One of the most popular methods in remote sensing for gathering and evaluating satellite
data is the classification of images. Several categories exist for image classification …
data is the classification of images. Several categories exist for image classification …
Spatio-Temporal pattern of coastal flooding due to microclimate change and mangrove deforestation in Semarang and Demak Coastal Area
W Widjonarko, H Purnaweni… - E3S Web of …, 2025 - e3s-conferences.org
The coastal area of Semarang-Demak has a high intensity of economic activity, indicated by
the presence of industry, housing, and other socio-economic activities. On the one hand, the …
the presence of industry, housing, and other socio-economic activities. On the one hand, the …
The area and distribution changes of mangrove forests on the coast of Gresik Regency, East Java, 2012-2023
C Muryani, D Ni'matussyahara - IOP Conference Series: Earth …, 2024 - iopscience.iop.org
Environmental dynamics in coastal areas have resulted in changes in the area and
distribution of mangrove forests in Gresik Regency. Mangroves have ecological and …
distribution of mangrove forests in Gresik Regency. Mangroves have ecological and …
Aplicación y análisis estadístico de múltiples índices de agua basado en datos de reflectancia del landsat 8 para detectar aguas superficiales en un entorno …
KM Alencar Da Silva Alves, ED Zimmermann… - 2024 - ri.conicet.gov.ar
El presente artículo tiene como objetivo calcular los Índices de Agua de Diferencia
Normalizada propuestos por Gao (1995), McFeeters (1996) y Xu (2006) en una serie …
Normalizada propuestos por Gao (1995), McFeeters (1996) y Xu (2006) en una serie …