Zobrazeno 1 - 10
of 97
pro vyhledávání: '"0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering"'
Autor:
Sicong Gao, Alfredo Huete, Hideki Kobayashi, Tanya M. Doody, Weiwei Liu, Yakai Wang, Yongguang Zhang, Xiaoliang Lu
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 191:1-17
Solar-induced chlorophyll fluorescence (SIF) provides a means to estimate plant photosynthetic activities and to detect early plant stress. The accurate quantification of SIF emitted by various scene components (tree crowns and background) may signif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b86857e1be19aaf56b712910064f8d07
https://doi.org/10.1016/j.isprsjprs.2022.07.004
https://doi.org/10.1016/j.isprsjprs.2022.07.004
Publikováno v:
Remote Sensing; Volume 14; Issue 24; Pages: 6313
Benefiting from the advancement of deep neural networks (DNNs), detecting objects from drone-view images has achieved great success in recent years. It is a very challenging task to deploy such DNN-based detectors on drones in real-life applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e298c82fe2466d9fbb9f9138389fee6
https://hdl.handle.net/10453/167787
https://hdl.handle.net/10453/167787
Autor:
Mingxi Zhang, Raphael A. Viscarra Rossel, Qinggaozi Zhu, John Leys, Jonathan M. Gray, Qiang Yu, Xihua Yang
Publikováno v:
Remote Sensing; Volume 14; Issue 21; Pages: 5437
Soil erosion caused by water and wind is a complicated natural process that has been accelerated by human activity. It results in increasing areas of land degradation, which further threaten the productive potential of landscapes. Consistent and cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a947eb7ee8f56bd497a2c1edcf57bca9
Geoscientists have extensively used machine learning for geological mapping and exploring the mineral prospect of a province. However, the interpretation of results becomes challenging due to the complexity of machine learning models. This study uses
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::5f5c2fdafb6398f61477b7b9459b9350
https://hdl.handle.net/10453/167420
https://hdl.handle.net/10453/167420
Publikováno v:
Remote Sensing; Volume 14; Issue 17; Pages: 4419
Prompt and precise acknowledgement of surface change around subways is of considerable significance in urban rail protection and local environmental management. Research has proven the considerable potential of synthetic aperture radar (SAR) images f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05d870a2f670ad7bad18bb65025de165
https://hdl.handle.net/10453/166099
https://hdl.handle.net/10453/166099
Autor:
Chi Xu, Yanling Ding, Xingming Zheng, Yeqiao Wang, Rui Zhang, Hongyan Zhang, Zewen Dai, Qiaoyun Xie
Publikováno v:
Remote Sensing; Volume 14; Issue 16; Pages: 4083
Rapid and accurate estimation of maize biomass is critical for predicting crop productivity. The launched Sentinel-1 (S-1) synthetic aperture radar (SAR) and Sentinel-2 (S-2) missions offer a new opportunity to map biomass. The selection of appropria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d325c703a2c746296a83b35a7a3246
Autor:
Yuhe Zhao, Minyu Wang, Tianxiang Zhao, Yi Luo, Yuhan Li, Kai Yan, Lei Lu, Ngoc Nguyen Tran, Xiaodan Wu, Xuanlong Ma
Sensors onboard the new generation of geostationary (GEO) satellites launched over past few years have much improved radiometric and temporal resolutions. As one of the latest GEO sensors, the Japanese Himawari-8 Advanced Himawari Imager (hereafter H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e56dbb99f09a7c31a1408a8a3ba7b44d
https://hdl.handle.net/10453/166365
https://hdl.handle.net/10453/166365
Autor:
Ekena Rangel Pinagé, David M. Bell, Marcos Longo, Sicong Gao, Michael Keller, Carlos A. Silva, Jean P. Ometto, Philipp Köhler, Christian Frankenberg, Alfredo Huete
Tropical forest degradation (e.g., anthropogenic disturbances such as selective logging and fires) alters forest structure and function and influences the forest's carbon sink. In this study, we explored structure-function relationships across a vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06af6ced70f1b23d554abaf53277d377
https://hdl.handle.net/10453/165942
https://hdl.handle.net/10453/165942
Species composition is a key determinant of grassland ecosystem function and resilience. Climate change is predicted to alter the distribution of cool season (C3) and warm season (C4) grasses, however, the lack of spatial distributions and temporal v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______363::d345f4b0eda9f4471508159ffe16e003
https://hdl.handle.net/10453/164183
https://hdl.handle.net/10453/164183
Publikováno v:
Imago Mundi. 72:163-180
This essay studies in detail—from a legal and aesthetic perspective—an eighteenth-century game map that became the object of a copyright dispute. Thomas Jefferys’s Royal Geographical Pastime or the...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf74800c25dc645a2fcdcae9c7dc7350
https://doi.org/10.1080/03085694.2020.1748375
https://doi.org/10.1080/03085694.2020.1748375