Zobrazeno 1 - 10
of 92
pro vyhledávání: '"lulc mapping"'
Autor:
Sunan Shi, Yanfei Zhong, Yinhe Liu, Jue Wang, Yuting Wan, Ji Zhao, Pengyuan Lv, Liangpei Zhang, Deren Li
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3321-3347 (2023)
High resolution satellite images are becoming increasingly available for urban multi-temporal semantic understanding. However, few datasets can be used for land-use/land-cover (LULC) classification, binary change detection (BCD) and semantic change d
Externí odkaz:
https://doaj.org/article/102b959297a34a05b3dbfa79778b7278
Publikováno v:
Water, Vol 16, Iss 16, p 2356 (2024)
Accurate land-use and land-cover (LULC) mapping is crucial for effective watershed management and hydrological modeling in arid regions. This study examines the use of high-resolution PlanetScope imagery for LULC mapping, change detection, and hydrol
Externí odkaz:
https://doaj.org/article/83862a28a00440d2bf3ca2587b78c340
Autor:
Michel E. D. Chaves, Anderson R. Soares, Guilherme A. V. Mataveli, Alber H. Sánchez, Ieda D. Sanches
Publikováno v:
Automation, Vol 4, Iss 1, Pp 94-109 (2023)
Land use and land cover (LULC) mapping initiatives are essential to support decision making related to the implementation of different policies. There is a need for timely and accurate LULC maps. However, building them is challenging. LULC changes af
Externí odkaz:
https://doaj.org/article/fcb398ae7df1475889c9d80c55bdbf16
Akademický článek
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Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 5177-5189 (2022)
Land use and land cover (LULC) information is a fundamental component of environmental research relating to urban planning, agricultural sustainability, and natural hazards assessment. In particular, remote sensing technology has demonstrated a power
Externí odkaz:
https://doaj.org/article/825cb904eaa3456d8fc80c66ca2c62f9
Akademický článek
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Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11485-11499 (2021)
Extensive research studies have been conducted in recent years to exploit the complementarity among multisensor (or multimodal) remote sensing data for prominent applications such as land cover mapping. In order to make a step further with respect to
Externí odkaz:
https://doaj.org/article/c122c482e24f42d599480cb0c63d64e6
Publikováno v:
Geography, Environment, Sustainability, Vol 13, Iss 4, Pp 107-120 (2020)
An attempt has been made to compare the salient characteristics of LULC transformations in planned (Faisalabad) and quasi-planned (Jhang) urban settlements of Pakistan. The Landsat-5 TM, Landsat 7 EMT+ and Landsat-8 images of 1989, 1999, 2009 and 201
Externí odkaz:
https://doaj.org/article/6d6a345b607c4f6f885bccb915b8f763
Publikováno v:
Engineering and Technology Journal, Vol 38, Iss 4A, Pp 510-514 (2020)
In this paper to make use of complementary potential in the mapping of LULC spatial data is acquired from LandSat 8 OLI sensor images are taken in 2019. They have been rectified, enhanced and then classified according to Random forest (RF) and artifi
Externí odkaz:
https://doaj.org/article/47c3b11443dc4ab99bf7a833bb7a7014
Autor:
Usman Ali, Travis J. Esau, Aitazaz A. Farooque, Qamar U. Zaman, Farhat Abbas, Mathieu F. Bilodeau
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 6, p 333 (2022)
Land use and land cover (LULC) classification maps help understand the state and trends of agricultural production and provide insights for applications in environmental monitoring. One of the major downfalls of the LULC technique is inherently linke
Externí odkaz:
https://doaj.org/article/4b51eefca76b4426acb68bd2765eddc5