Urban impervious surface detection from remote sensing images: A review of the methods and challenges

Y Wang, M Li - IEEE Geoscience and Remote Sensing …, 2019 - ieeexplore.ieee.org
Urban impervious surface (UIS) offers potentially valuable information for the development
of sustainable urban management strategies and environmental change monitoring actions …

Changes in water surface area during 1989–2017 in the Huai River Basin using Landsat data and Google earth engine

H Xia, J Zhao, Y Qin, J Yang, Y Cui, H Song, L Ma… - Remote Sensing, 2019 - mdpi.com
The dynamics of surface water play a crucial role in the hydrological cycle and are sensitive
to climate change and anthropogenic activities, especially for the agricultural zone. As one …

Monitoring of urban sprawl and densification processes in western Germany in the light of SDG indicator 11.3. 1 based on an automated retrospective classification …

G Ghazaryan, A Rienow, C Oldenburg, F Thonfeld… - Remote Sensing, 2021 - mdpi.com
By 2050, two-third of the world's population will live in cities. In this study, we develop a
framework for analyzing urban growth-related imperviousness in North Rhine-Westphalia …

Improvement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiers

CD Man, TT Nguyen, HQ Bui, K Lasko… - International Journal of …, 2018 - Taylor & Francis
Recent abundance of moderate-to-high spatial resolution satellite imagery has facilitated
land-cover map production. However, in cloud-prone areas, building high-resolution land …

Green infrastructure connectivity analysis across spatiotemporal scales: A transferable approach in the Ruhr Metropolitan Area, Germany

J Wang, A Rienow, M David, C Albert - Science of the Total Environment, 2022 - Elsevier
Developing green infrastructure (GI) has drawn increasing attention as a strategic planning
approach for advancing urban sustainability. The connectivity of green spaces, a central …

From land cover map to land use map: A combined pixel-based and object-based approach using multi-temporal landsat data, a random forest classifier, and decision …

DH Bui, L Mucsi - Remote Sensing, 2021 - mdpi.com
It is essential to produce land cover maps and land use maps separately for different
purposes. This study was conducted to generate such maps in Binh Duong province …

Demi-decadal land use land cover change analysis of Mizoram, India, with topographic correction using machine learning algorithm

P Gupta, DP Shukla - Environmental Science and Pollution Research, 2024 - Springer
Mizoram (India) is part of UNESCO's biodiversity hotspots in India that is primarily populated
by tribes who engage in shifting agriculture. Hence, the land use land cover (LULC) pattern …

Comparing Pixel-and Object-Based Approaches for Classifying Multispectral Drone Imagery of a Salt Marsh Restoration and Reference Site

GS Norris, A LaRocque, B Leblon, MA Barbeau… - Remote Sensing, 2024 - mdpi.com
Monitoring salt marshes with remote sensing is necessary to evaluate their state and
restoration. Determining appropriate techniques for this can be overwhelming. Our study …

基于波段增强的DeepLabv3+ 多光谱影像葡萄种植区识别.

孙志同, 朱珊娜, 高郑杰, 古明扬… - Transactions of the …, 2022 - search.ebscohost.com
精准获取葡萄种植区分布信息对其精细化管理和优质基地建设具有重要意义,
通常大区域种植区识别主要基于遥感影像完成, 但葡萄种植区空间位置的分散性和背景环境的 …

Age-group-based evaluation of residents' urban green space provision: Szeged, Hungary. A case study

RA Kolcsár, ÁK Csete, A Kovács-Győri… - Hungarian Geographical …, 2022 - ojs.mtak.hu
Abstract Analysis of urban green space (UGS) provision is becoming increasingly important
from an urban-planning perspective, as processes related to climate change tend to worsen …