Zobrazeno 1 - 10
of 432
pro vyhledávání: '"Cover Change Detection"'
Autor:
James Kapp, Jaco Kemp
Publikováno v:
Geomatics, Vol 3, Iss 3, Pp 427-446 (2023)
Urban areas are rapidly expanding globally. The detection of settlement expansion can, however, be challenging due to the rapid rate of expansion, especially for informal settlements. This paper presents a solution in the form of an unsupervised auto
Externí odkaz:
https://doaj.org/article/33ac4e49e17541b786f4a4d3280229d0
Publikováno v:
Land, Vol 13, Iss 7, p 927 (2024)
Land-use and land-cover (LULC) change detection (CD) is a pivotal research area in remote sensing applications, posing a significant challenge due to variations in illumination, radiation, and image noise between bi-temporal images. Currently, deep l
Externí odkaz:
https://doaj.org/article/bc714f5cf27a423385a1b753dad0b92c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 570-580 (2023)
Object-oriented change detection (OOCD) plays an important role in remote sensing change detection. Generally, most of current OOCD methods adopt the highest predicted probability to determine whether objects have changes. However, it ignores the fac
Externí odkaz:
https://doaj.org/article/aa727ad07dfe43298466248467d16dfc
Autor:
Temesgen Dirko Dingamo
Publikováno v:
Ethiopian Journal of Science and Sustainable Development, Vol 10, Iss 2 (2023)
LULC changes are caused by natural and human alterations of the landscape that could largely affect forest biodiversity and the environment. The study aimed to analyze LULC change dynamics and driving forces in the western escarpment of the rift vall
Externí odkaz:
https://doaj.org/article/24208d9b760c4cd48c039777fac1dd1c
Publikováno v:
Heliyon, Vol 9, Iss 5, Pp e15665- (2023)
Water resources are often at the center of urban development but, as the city expands, the environmental pressure on its water resources increases. Therefore, in this study, we looked into how various land uses and changes in land cover affect the wa
Externí odkaz:
https://doaj.org/article/4fb8171dbc9e4277bb7b18fa866ccdce
Autor:
Stephanie P. George‐Chacón, Jean François Mas, Juan Manuel Dupuy, Miguel Angel Castillo‐Santiago, José Luis Hernández‐Stefanoni
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 8, Iss 3, Pp 347-361 (2022)
Abstract Spatial information on the timing of forest cover loss is important to identify and map stand age, which is a key factor driving the recovery of carbon pools and can also be used to estimate aboveground biomass (AGB) based on its relationshi
Externí odkaz:
https://doaj.org/article/c4e2baa0f6a8471d9d5dd60418bb24f4
Autor:
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hansch, Naoto Yokoya
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1643-1655 (2022)
We present here the scientific outcomes of the 2021 Data Fusion Contest (DFC2021) organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society. DFC2021 was dedicated to research on geospatial a
Externí odkaz:
https://doaj.org/article/b9d2f391bf1540638ea6087341fd972f
Akademický článek
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Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4609 (2023)
Change detection with heterogeneous remote sensing images (Hete-CD) plays a significant role in practical applications, particularly in cases where homogenous remote sensing images are unavailable. However, directly comparing bitemporal heterogeneous
Externí odkaz:
https://doaj.org/article/15f211d66b5f4c1186a402bc9da13117
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4285 (2023)
Urban forests globally face severe degradation due to human activities and natural disasters, making deforestation an urgent environmental challenge. Remote sensing technology and very-high-resolution (VHR) bitemporal satellite imagery enable change
Externí odkaz:
https://doaj.org/article/2838bd71ae334c81b8f5e98e7d58e1a3