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GIScience & Remote Sensing
Scopus
ISSN 1548-1603 · Taylor & Francis Group · 489 artikel di indeks
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Artikel Jurnal
Cross-supervised learning for cloud detection
We present a new learning paradigm, that is, cross-supervised learning, and explore its use for cloud detection. The cross-supervised learning paradigm is characterized by both supervised training and mutually supervised training, and is performed by two base networks. In addition to the individual…
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Artikel Jurnal
Virtual image-based cloud removal for Landsat images
The inevitable thick cloud contamination in Landsat images has severely limited the usability and applications of these images. Developing cloud removal algorithms has been a hot research topic in recent years. Many previous algorithms used one or multiple cloud-free image(s) in the same area…
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Artikel Jurnal
Spatiotemporal dynamics of vegetation net ecosystem productivity and its response to drought in Northwest China
Net ecosystem productivity (NEP) quantifies magnitude of the terrestrial vegetation carbon sinks. Drought is one of the most important stressors affecting vegetation NEP. At present, the spatiotemporal dynamics of vegetation NEP in drought-prone of Northwest China (NWC) lack discussion under…
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Artikel Jurnal
Mapping stone walls in Northeastern USA using deep learning and LiDAR data
Stone walls are widespread and iconic landforms found throughout forested terrain in the Northeastern USA that were built during the 17th to early 20th centuries to delineate property boundaries and the edges of agricultural fields and pastures. As linear, or broadly curved, features that are…
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Artikel Jurnal
A multivariate hierarchical regionalization method to discovering spatiotemporal patterns
In GIScience, the regionalization method is widely used for geographical data mining, spatiotemporal pattern discovery, and regional studies. An ideal regionalization method should consider spatial contiguity, temporal contiguity, and attribute similarity. Existing regionalization approaches mostly…
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Artikel Jurnal
Seven-year variation in glacier surface velocity at Narsap Sermia in Southwest Greenland
Glacier velocity is a critical factor closely related to ice dynamics of the Greenland ice sheet (GrIS). We present variations of ice velocity using space-based synthetic aperture radar (SAR) observations from July 2013 to September 2020. We focus on a tidewater outlet glacier of Narsap Sermia…
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Artikel Jurnal
Mapping high-resolution forest aboveground biomass of China using multisource remote sensing data
Forest aboveground biomass (AGB) estimation is crucial for carbon cycle studies and climate change mitigation actions. However, because of limitations in timely and reliable forestry surveys and high-resolution remote sensing data, producing a fine resolution and spatial continuous forest AGB map…
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Artikel Jurnal
Coseismic displacement fields and the slip mechanism of the 2021 Mw 6.7 Hovsgol earthquake in Mongolia constrained by Sentinel-1 and ALOS-2 InSAR
On 11 January 2021, an Mw 6.7 earthquake, which involved a complex rupture mechanism, occurred in Lake Hovsgol, Mongolia. This study measured the earthquake’s 3-D coseismic surface displacement fields using interferometric synthetic aperture radar (InSAR) pairs of three radar look directions…
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Artikel Jurnal
Collaborative multiple change detection methods for monitoring the spatio-temporal dynamics of mangroves in Beibu Gulf, China
Mangrove ecosystems are one of the most diverse and productive marine ecosystems around the world, although losses of global mangrove area have been occurring over the past decades. Therefore, tracking spatio-temporal changes and assessing the current state are essential for mangroves conservation…
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Artikel Jurnal
Identification of densely populated-informal settlements and their role in Chinese urban sustainability assessment
China’s National Plan on Implementation of the 2030 Agenda for Sustainable Development identified the upgrading of urban shantytowns, urban villages, and dilapidated houses as an important initiative to implement the Sustainable Development Goal (SDG) 11.1. However, informal housing being used as…
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Artikel Jurnal
A new strategy for improving the accuracy of forest aboveground biomass estimates in an alpine region based on multi-source remote sensing
Spatially explicit information on the distribution of dominant tree species groups and aboveground biomass (AGB) in forested areas is essential for developing targeted forest management and biodiversity conservation measures, as well as assessing forest carbon sequestration capacity. There is a…
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Artikel Jurnal
Improving the accuracy of the Water Detect algorithm using Sentinel-2, Planetscope and sharpened imagery: a case study in an intermittent river
Mapping surface water using remotely sensed optical imagery is a particular challenge in intermittent rivers because water contracts down to narrow linear features and isolated pools, which require accurate water detection methods and reliable image datasets. Of the many methods that use optical…
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Artikel Jurnal
Trade-offs among productive-living-ecological lands for facilitating low-carbon and efficient cities: evidences in 30 major Chinese cities from 2015 to 2020
Low-carbon and efficient city, a sustainable city development mode, requires the land to carry more people and economy, but cause no ecological damage, which is essentially a trade-off among diverse land functional zones (LFZs), e.g. living, productive, and ecological lands, from a land system…
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Artikel Jurnal
A shape-attention Pivot-Net for identifying central pivot irrigation systems from satellite images using a cloud computing platform: an application in the contiguous US
Forty percent of global food production relies upon irrigation, which accounts for 70% of total global freshwater use. Thus, the mapping of cropland irrigation plays a significant role in agricultural water management and estimating food production. However, current spaceborne irrigated cropland…
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Artikel Jurnal
Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site
Leaf area index (LAI) is defined as one half of the total green leaf area per unit ground surface area. Its vertical profile is critical for understanding the remote sensing radiative transfer processes. LAI profile has been derived from airborne and spaceborne LiDAR data, such as the Global…
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Artikel Jurnal
Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data
Accurate quantification of individual tree parameters is vital for precise forest inventory and sustainable forest management. However, in dense forests, terrestrial laser scanning (TLS), which can provide accurate and detailed forest structural measurements, is limited to capturing the complete…
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Artikel Jurnal
Spatiotemporal variation in bamboo Solar-induced chlorophyll fluorescence (SIF) in China based on the global Orbiting Carbon Observatory-2 (OCO-2) carbon satellite and study on the response to climate and terrain
Bamboo forests have a high carbon sequestration potential. Solar-induced chlorophyll fluorescence (SIF) provides fresh insights into the temporal and geographical variations in bamboo development and its interactions with the environment. SIF can serve as a probe for photosynthesis. In this study…
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Artikel Jurnal
Contemporary and historical detection of small lakes using super resolution Landsat imagery: promise and peril
Landsat is the longest-running environmental satellite program and has been used for surface water mapping since its launch in 1972. However, its sustained 30 m resolution since 1982 prohibits the detection of small water bodies, which are globally far more prevalent than large. Remote sensing…
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Artikel Jurnal
Multiscale mapping of local climate zones in Tokyo using airborne LiDAR data, GIS vectors, and Sentinel-2 imagery
Multisource remote sensing and geographic information system (GIS) data have contributed powerfully to the large-scale automated mapping of local climate zones (LCZs). However, the accessibility of high-resolution height data, the applicability of standard thresholds to local contexts, and the…
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Artikel Jurnal
Classification of drainage crossings on high-resolution digital elevation models: A deep learning approach
High-Resolution Digital Elevation Models (HRDEMs) have been used to delineate fine-scale hydrographic features in landscapes with relatively level topography. However, artificial flow barriers associated with roads are known to cause incorrect modeled flowlines, because these barriers substantially…