Monitoring desertification in Mongolia based on Landsat images and Google Earth Engine from 1990 to 2020
Sign Up to like & getrecommendations! Published in 2021 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2021.107908
Abstract: Abstract Desertification is one of the most serious ecological and environmental problems in arid regions. Low-cost, wide-ranging, and high-precision methods are essential for the formulation of appropriate strategies for quantitatively monitoring desertification. In this study,… read more here.
Keywords: 1990 2020; earth engine; google earth; desertification ... See more keywords
High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.02.055
Abstract: Abstract Timely and accurate delineation of global urban land is fundamental to the understanding of global environmental changes. However, most of the contemporary global urban land maps have coarse resolutions and are available for one… read more here.
Keywords: multi temporal; landsat images; google earth; urban land ... See more keywords
Cirrus clouds that adversely affect Landsat 8 images: What are they and how to detect them?
Sign Up to like & getrecommendations! Published in 2020 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.111884
Abstract: Abstract We developed an algorithm called Cmask (Cirrus cloud mask) for cirrus cloud detection in Landsat 8 imagery using time series of Cirrus Band (1.36–1.39 μm) observations. For each pixel, a harmonic model, which includes a… read more here.
Keywords: cirrus cloud; landsat images; cirrus clouds; cirrus ... See more keywords
Recognizing Global Reservoirs From Landsat 8 Images: A Deep Learning Approach
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2929601
Abstract: Man-made reservoirs are key components of terrestrial hydrological systems. Identifying the location and number of reservoirs is the premise for studying the impact of human activities on water resources and environmental changes. While complete bottom-up… read more here.
Keywords: reservoirs landsat; remote sensing; global reservoirs; landsat images ... See more keywords
Thick Clouds Removing From Multitemporal Landsat Images Using Spatiotemporal Neural Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3043980
Abstract: Landsat images have played an important role in the field of Earth observation and geoinformatics. However, optical Landsat images are frequently contaminated by cloud cover, especially in tropical and subtropical regions, which limits the utilization… read more here.
Keywords: thick clouds; module; landsat images; landsat ... See more keywords
Detecting changes in multitemporal multispectral Landsat images using spatial frequency-based undecimated wavelet transform fusion
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.3.033011
Abstract: Abstract. Changes in surface water are normally detected by extracting the water features from individual multispectral (MS) images. We present an approach based on pixel fusion of MS and panchromatic (PAN) bands of multitemporal Landsat… read more here.
Keywords: undecimated wavelet; fusion; landsat images; spatial frequency ... See more keywords
Unsupervised Change Detection in Landsat Images with Atmospheric Artifacts: A Fuzzy Multiobjective Approach
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/7274141
Abstract: A new unsupervised approach based on a hybrid wavelet transform and Fuzzy Clustering Method (FCM) with Multiobjective Particle Swarm Optimization (MO-PSO) is proposed to obtain a binary change mask in Landsat images acquired with different… read more here.
Keywords: difference; landsat images; change; proposed method ... See more keywords
Leaf water potential of coffee estimated by landsat-8 images
Sign Up to like & getrecommendations! Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0230013
Abstract: Traditionally, water conditions of coffee areas are monitored by measuring the leaf water potential (ΨW) throughout a pressure pump. However, there is a demand for the development of technologies that can estimate large areas or… read more here.
Keywords: algorithm; water; landsat images; leaf water ... See more keywords
Economy Estimation of Mainland China at County-Level Based on Landsat Images and Multi-Task Deep Learning Framework
Sign Up to like & getrecommendations! Published in 2020 at "Photogrammetric Engineering and Remote Sensing"
DOI: 10.14358/pers.86.2.99
Abstract: The social-economic statistics collected from local governments are the main access for the central government to achieve national economic circumstance, especially for China. However, the statistics of almost 10% of national counties are missing or… read more here.
Keywords: multi task; task deep; landsat images; county level ... See more keywords
Assessing Landsat Images Availability and Its Effects on Phenological Metrics
Sign Up to like & getrecommendations! Published in 2021 at "Forests"
DOI: 10.3390/f12050574
Abstract: Landsat imagery offers the most extended continuous land surface observation at 30 m spatial resolution and is widely used in land change studies. On the other hand, the recent developments on big data, such as… read more here.
Keywords: landsat images; availability; vegetation; assessing landsat ... See more keywords
Performance of the METRIC model in estimating evapotranspiration fluxes over an irrigated field in Saudi Arabia using Landsat-8 images
Sign Up to like & getrecommendations! Published in 2017 at "Hydrology and Earth System Sciences"
DOI: 10.5194/hess-21-6135-2017
Abstract: Abstract. Accurate estimation of evapotranspiration (ET) is essential for hydrological modeling and efficient crop water management in hyper-arid climates. In this study, we applied the METRIC algorithm on Landsat-8 images, acquired from June to October 2013,… read more here.
Keywords: field; landsat images; saudi arabia; evapotranspiration ... See more keywords