Coastline extraction using remote sensing: A review

W Sun, C Chen, W Liu, G Yang, X Meng… - GIScience & Remote …, 2023 - Taylor & Francis
Coastlines are important basic geographic elements and mapping their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …

Morphological transformation and spatial-logical aggregation for tree species classification using hyperspectral imagery

M Zhang, W Li, X Zhao, H Liu, R Tao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Hyperspectral image (HSI) consists of abundant spectral and spatial characteristics, which
contribute to a more accurate identification of materials and land covers. However, most …

[HTML][HTML] Quantifying scattering characteristics of mangrove species from Optuna-based optimal machine learning classification using multi-scale feature selection and …

B Fu, Y Liang, Z Lao, X Sun, S Li, H He, W Sun… - International Journal of …, 2023 - Elsevier
Mangroves play a significant role in carbon sequestration and storage. Mapping mangrove
species and monitoring their conditions have been a crucial issue for achieving sustainable …

Remote data for mapping and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

Long-term mapping of land use and cover changes using Landsat images on the Google Earth Engine Cloud Platform in bay area-A case study of Hangzhou Bay …

J Liang, C Chen, Y Song, W Sun, G Yang - Sustainable Horizons, 2023 - Elsevier
Large-scale, long-term series, and high-precision land use and cover change (LUCC)
mapping is the basic support for territorial spatial planning and sustainable development in …

Mapping of ecological environment based on Google earth engine cloud computing platform and landsat long-term data: A case study of the zhoushan archipelago

C Chen, L Wang, G Yang, W Sun, Y Song - Remote Sensing, 2023 - mdpi.com
In recent years, with the rapid advancement of China's urbanization, the contradiction
between urban development and the ecological environment has become increasingly …

High-resolution hyperspectral imaging using low-cost components: Application within environmental monitoring scenarios

MB Stuart, M Davies, MJ Hobbs, TD Pering… - Sensors, 2022 - mdpi.com
High-resolution hyperspectral imaging is becoming indispensable, enabling the precise
detection of spectral variations across complex, spatially intricate targets. However, despite …

Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China

X Wang, X Xiao, X Zhang, H Ye, J Dong, Q He… - Journal of Cleaner …, 2023 - Elsevier
Numbers and sizes of photovoltaic solar power plants have grown unprecedentedly over the
last few years in China, which aims to achieve a carbon emission peak by 2030 and carbon …

[HTML][HTML] Tracking annual dynamics of mangrove forests in mangrove National Nature Reserves of China based on time series Sentinel-2 imagery during 2016–2020

R Zhang, M Jia, Z Wang, Y Zhou, D Mao, C Ren… - International Journal of …, 2022 - Elsevier
Abstract Mangrove National Nature Reserves (MNNRs) play an extraordinarily significant
role in conserving mangrove forests and their habitats. In China, one-fourth of the total …

Temporal-spectral-semantic-aware convolutional transformer network for multi-class tidal wetland change detection in Greater Bay Area

S Qian, Z Xue, M Jia, Y Chen, H Su - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Coastal tidal wetlands are crucial for environmental and economic health, but facing threats
from various environmental changes. Detecting changes of tidal wetlands is essential for …