المؤلفون: Capell Fabri, Anna

المساهمون: University/Department: Universitat de Girona. Departament de Dret Públic

Thesis Advisors: Trayter Jiménez, Joan Manuel

المصدر: TDX (Tesis Doctorals en Xarxa)

مصطلحات موضوعية: Urbanisme, Urbanismo, Urbanism, Normativa urbanística, Urban planning regulation, Classificació urbanística del sòl, Clasificación urbanística del suelo, Land use classification, Ús del sòl, Uso del suelo, Land use, Sòl no urbanitzable, Suelo no urbanizable, Undeveloped land, Dret administratiu, Derecho administrativo, Administrative law

وصف الملف: application/pdf

URL الوصول: http://hdl.handle.net/10803/673515

المؤلفون: Mengmeng Li, Xinyi Gai, Kangkai Lou, Alfred Stein

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Land-use unit partition, urban land use classification, graph neural networks, Object-Community-Block (OCB), high-resolution satellite images, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/3b9e5df7a447446e90f7c23b0ce726b8

المؤلفون: M. Cubaud, A. Le Bris, L. Jolivet, A.-M. Olteanu-Raimond

المصدر: International Journal of Digital Earth, Vol 17, Iss 1 (2024)

مصطلحات موضوعية: Land use classification, transferability, data-fusion, machine learning, LULC, Mathematical geography. Cartography, GA1-1776

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1753-8947; https://doaj.org/toc/1753-8955

URL الوصول: https://doaj.org/article/50bf250f14304c9e8793dc8541e4541d

المؤلفون: Jianghe Xing, Zhenwei Li, Jun Li, Shouhang Du, Wei Li, Chengye Zhang

المصدر: Geo-spatial Information Science, Pp 1-17 (2024)

مصطلحات موضوعية: Mining areas, land use classification, object-based analysis, DenseNet, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

URL الوصول: https://doaj.org/article/aec18898bc35477e89d1f34a06259a1e

المؤلفون: Anila Kausar, Salman Zubair, Hadeeqa Sohail, Muhammad Mushahid Anwar, Asad Aziz, Sergij Vambol, Viola Vambol, Nadeem A. Khan, Serhii Poteriaiko, Vasyl Tyshchenko, Rustam Murasov, Fizza Ejaz, Owais Iqbal Khan

المصدر: Discover Sustainability, Vol 5, Iss 1, Pp 1-20 (2024)

مصطلحات موضوعية: Environment, Land-based surveying, Land use classification, Mixed-use, Object-based analysis, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2662-9984

URL الوصول: https://doaj.org/article/f113bc7633d04b8aa93f6402253e9b74

المؤلفون: Mohammed Aljebreen, Hanan Abdullah Mengash, Mohammad Alamgeer, Saud S. Alotaibi, Ahmed S. Salama, Manar Ahmed Hamza

المصدر: IEEE Access, Vol 12, Pp 11147-11156 (2024)

مصطلحات موضوعية: Remote sensing images, land use classification, land cover, deep learning, metaheuristics, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10379612/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/acb525c16ddc42ecbb974c3d01fd670c

المؤلفون: Mengmeng Li, Congcong Zhang, Wufan Zhao, Wen Zhou

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10051-10066 (2024)

مصطلحات موضوعية: Cross-domain classification, land use classification, multisource domain adaptation, Swin transformer, very high resolution (VHR) remote sensing images, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10529516/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/0743c9a63aaa46ad980407c015c23355

المؤلفون: Zhu, Yue

المساهمون: So, Emily

مصطلحات موضوعية: deep learning, land change prediction, land use change, land use classification

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.871764

المؤلفون: Yougui Ren, Zhiwei Xie, Shuaizhi Zhai

المصدر: ISPRS International Journal of Geo-Information, Vol 13, Iss 11, p 378 (2024)

مصطلحات موضوعية: land use classification, convolutional neural network (CNN), graph neural network (GNN), transformer, Geography (General), G1-922

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2220-9964/13/11/378; https://doaj.org/toc/2220-9964

URL الوصول: https://doaj.org/article/df5382ac178b40f28edc5348cc34dcc5

المؤلفون: Lixiran Yu, Hong Xie, Yan Xu, Qiao Li, Youwei Jiang, Hongfei Tao, Mahemujiang Aihemaiti

المصدر: Agriculture, Vol 14, Iss 10, p 1693 (2024)

مصطلحات موضوعية: Sentinel-2A, random forest, land use classification, object-oriented, irrigated area, Agriculture (General), S1-972

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2077-0472/14/10/1693; https://doaj.org/toc/2077-0472

URL الوصول: https://doaj.org/article/904346f260f248139da3a0f539e1928d

المؤلفون: Harold N. Eyster, Brian Beckage

المصدر: PeerJ Computer Science, Vol 10, p e2003 (2024)

مصطلحات موضوعية: Deep learning, Vancouver, Land cover classification, Land use classification, Land use change, Land cover change, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://peerj.com/articles/cs-2003.pdf; https://peerj.com/articles/cs-2003/; https://doaj.org/toc/2376-5992

URL الوصول: https://doaj.org/article/b5387ba34a004abd9aada19fac0f8d26

المؤلفون: Zhenbao Wang, Yuqi Liang, Yanfang He, Yidan Cui, Xiaoxian Zhang

المصدر: Applied Sciences, Vol 14, Iss 16, p 7235 (2024)

مصطلحات موضوعية: deep learning, land-use classification, remote sensing images, EfficientNetV2, urban core built-up area, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/14/16/7235; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/894ad46c91d14edb9c2299c481005d66

المؤلفون: Tianxiang Long, Zhuhui Bai, Bohong Zheng

المصدر: Land, Vol 13, Iss 9, p 1393 (2024)

مصطلحات موضوعية: risk-screening environmental indicators, land use classification, driving force analysis, Geodetector, Changle District, Agriculture

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-445X/13/9/1393; https://doaj.org/toc/2073-445X

URL الوصول: https://doaj.org/article/f681cc5acd654fca835a29cc35b54682

المؤلفون: Gang Xie, Xiaohui Bai, Yanbo Peng, Yi Li, Chuanxing Zhang, Yang Liu, Jinhui Liang, Lei Fang, Jinyue Chen, Jilin Men, Xinfeng Wang, Guoqiang Wang, Qiao Wang, Shilong Ren

المصدر: Remote Sensing, Vol 16, Iss 12, p 2168 (2024)

مصطلحات موضوعية: aquaculture pond, land use classification, machine learning, spatiotemporal pattern, water quality, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/12/2168; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/a9532bdfcce24aab85b0a41b8aede586

المؤلفون: Xiaoyu Li, Zhongbao Xin

المصدر: Remote Sensing, Vol 16, Iss 12, p 2213 (2024)

مصطلحات موضوعية: UAV, village, ultra-high-resolution land-use classification, distribution patterns, the Hehuang Valley, rural vitalization, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/12/2213; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/c0c23e7fa89b450696b3cc6ef9d48d7d

المؤلفون: Dario Perregrini, Vittorio Casella

المصدر: Remote Sensing, Vol 16, Iss 13, p 2273 (2024)

مصطلحات موضوعية: remote sensing, OBIA, WorldView-3, satellite imagery, land use classification, fuzzy logic, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/13/2273; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/53cb10ec9038462ca85e53c1b539d4c3

المؤلفون: Jiaxing Xu, Chen Chen, Shutian Zhou, Wenmin Hu, Wei Zhang

المصدر: Frontiers in Sustainable Food Systems, Vol 7 (2024)

مصطلحات موضوعية: land use classification, random forest, feature selection, texture, mine-agriculture compound area, Nutrition. Foods and food supply, TX341-641, Food processing and manufacture, TP368-456

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fsufs.2023.1335292/full; https://doaj.org/toc/2571-581X

URL الوصول: https://doaj.org/article/318eeec5698242299aae56fa7bea658d

المؤلفون: Yuanrong He, Yangfeng Lai, Bingning Chen, Yuhang Chen, Zhiying Xie, Xiaolin Yu, Min Luo

المصدر: Minerals ; Volume 14 ; Issue 12 ; Pages: 1282

مصطلحات موضوعية: UAV, object-oriented, random forest, open-pit mines, land use classification

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: https://dx.doi.org/10.3390/min14121282

الاتاحة: https://doi.org/10.3390/min14121282

المؤلفون: Gunawansa, Thakshila D., Perera, Kithsiri, Apan, Armando, Hettiarachchi, Nandita K.

مصطلحات موضوعية: Human-elephant conflict, Remote sensing, GIS analysis, Land cover and land use classification, MODIS data, Random forest, Support vector machine

وصف الملف: application/pdf

Relation: https://research.usq.edu.au/download/52d3ff66c9e3ba05f154d035a75ebc9aacb14d09e38fcf08f16428708d3b306c/26426249/1-s2.0-S2352938524001253-main.pdf; https://doi.org/10.1016/j.rsase.2024.101261; Gunawansa, Thakshila D., Perera, Kithsiri, Apan, Armando and Hettiarachchi, Nandita K. 2024. "Identifying human elephant conflict hotspots through satellite remote sensing and GIS to support conflict mitigation ." Remote Sensing Applications: Society and Environment. 35. https://doi.org/10.1016/j.rsase.2024.101261

الاتاحة: https://research.usq.edu.au/item/z7vq1/identifying-human-elephant-conflict-hotspots-through-satellite-remote-sensing-and-gis-to-support-conflict-mitigation
https://research.usq.edu.au/download/52d3ff66c9e3ba05f154d035a75ebc9aacb14d09e38fcf08f16428708d3b306c/26426249/1-s2.0-S2352938524001253-main.pdf
https://doi.org/10.1016/j.rsase.2024.101261

المؤلفون: ALMEIDA, BRUNA, Cabral, Pedro

مصطلحات موضوعية: Remote Sensing, Machine Learning, Land Use Classification, Aquatic Ecosystems, Terrestrial Ecosystems, Spatiotemporal Analysis

Relation: https://www.sciencedirect.com/science/article/pii/S2352938523002033; Almeida, B., & Cabral, P. (2024). A hybrid modelling approach for detecting seasonal variations in inland Green-Blue Ecosystems. "Remote Sensing Applications: Society and Environment", 33, 101121. DOI:10.1016/j.rsase.2023.101121; http://hdl.handle.net/10400.3/7080

الاتاحة: http://hdl.handle.net/10400.3/7080
https://doi.org/10.1016/j.rsase.2023.101121