Academic Journal

Retrieval of vegetation indices and vegetation fraction in highly compact urban areas : a 3D radiative transfer approach

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Retrieval of vegetation indices and vegetation fraction in highly compact urban areas : a 3D radiative transfer approach
Συγγραφείς: Xue, WY, Feng, LP, Yang, JX, Xu, Y, Ho, HC, Luo, RB, Menenti, M, Wong, MS
Συνεισφορές: Department of Land Surveying and Geo-Informatics, Research Institute for Sustainable Urban Development
Στοιχεία εκδότη: Molecular Diversity Preservation International (MDPI)
Έτος έκδοσης: 2025
Συλλογή: Hong Kong Polytechnic University: PolyU Institutional Repository (PolyU IR)
Θεματικοί όροι: NDVI, FVC, Urban geometry, Building materials, DART
Περιγραφή: 202509 bcrc ; Version of Record ; RGC ; Others ; National Natural Science Foundation of Chin; National College Students Innovation and Entrepreneurship Training Program; MOST High Level Foreign Expert program; Chinese Academy of Sciences President’s International Fellowship Initiative; General Research Fund ; Published ; CC
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: English
Relation: https://hdl.handle.net/10397/114945; 17; WOS:001393808100001; 143; OA_Scopus/WOS
DOI: 10.3390/rs17010143
Διαθεσιμότητα: https://hdl.handle.net/10397/114945
https://doi.org/10.3390/rs17010143
Rights: © 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). ; The following publication Xue, W., Feng, L., Yang, J., Xu, Y., Ho, H. C., Luo, R., Menenti, M., & Wong, M. S. (2025). Retrieval of Vegetation Indices and Vegetation Fraction in Highly Compact Urban Areas: A 3D Radiative Transfer Approach. Remote Sensing, 17(1), 143 is available at https://dx.doi.org/10.3390/rs17010143.
Αριθμός Καταχώρησης: edsbas.1D955887
Βάση Δεδομένων: BASE