What is the relationship between land use and surface water quality? A review and prospects from remote sensing perspective

C Cheng, F Zhang, J Shi, HT Kung - Environmental Science and Pollution …, 2022 - Springer
Good surface water quality is critical to human health and ecology. Land use determines the
surface water heat and material balance, which cause climate change and affect water …

Anthropogenic land use and land cover changes—A review on its environmental consequences and climate change

PS Roy, RM Ramachandran, O Paul, PK Thakur… - Journal of the Indian …, 2022 - Springer
The global demand for food and bioenergy changes associated with land use and land
cover change (LULCC) has raised concerns about the environment, global warming, and …

Dynamic World, Near real-time global 10 m land use land cover mapping

CF Brown, SP Brumby, B Guzder-Williams, T Birch… - Scientific Data, 2022 - nature.com
Unlike satellite images, which are typically acquired and processed in near-real-time, global
land cover products have historically been produced on an annual basis, often with …

Global 10 m land use land cover datasets: A comparison of dynamic world, world cover and esri land cover

ZS Venter, DN Barton, T Chakraborty, T Simensen… - Remote Sensing, 2022 - mdpi.com
The European Space Agency's Sentinel satellites have laid the foundation for global land
use land cover (LULC) mapping with unprecedented detail at 10 m resolution. We present a …

Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover mapping: A systematic review

M ED Chaves, M CA Picoli, I D. Sanches - Remote Sensing, 2020 - mdpi.com
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …

Overview of the application of remote sensing in effective monitoring of water quality parameters

GE Adjovu, H Stephen, D James, S Ahmad - Remote Sensing, 2023 - mdpi.com
This study provides an overview of the techniques, shortcomings, and strengths of remote
sensing (RS) applications in the effective retrieval and monitoring of water quality …

DKDFN: Domain knowledge-guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification

Y Li, Y Zhou, Y Zhang, L Zhong, J Wang… - ISPRS Journal of …, 2022 - Elsevier
Land use and land cover maps provide fundamental information that has been used in
different types of studies, ranging from public health to carbon cycling. However, the existing …

Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis

AA Adegun, S Viriri, JR Tapamo - Journal of Big Data, 2023 - Springer
Classification and analysis of high-resolution satellite images using conventional techniques
have been limited. This is due to the complex characteristics of the imagery. These images …

Segment anything, from space?

S Ren, F Luzi, S Lahrichi, K Kassaw… - Proceedings of the …, 2024 - openaccess.thecvf.com
Recently, the first foundation model developed specifically for image segmentation tasks
was developed, termed the" Segment Anything Model"(SAM). SAM can segment objects in …

[HTML][HTML] Mapping tree species proportions from satellite imagery using spectral–spatial deep learning

C Bolyn, P Lejeune, A Michez, N Latte - Remote sensing of environment, 2022 - Elsevier
Remote sensing can be used to collect information related to forest management. Previous
studies demonstrated the potential of using multispectral satellite imagery for classifying tree …