Zobrazeno 1 - 10 of 11 pro vyhledávání: '"Nianxu Xu"'
1
Akademický článek
Influence of Vegetation Phenology on the Temporal Effect of Crop Fractional Vegetation Cover Derived from Moderate-Resolution Imaging Spectroradiometer Nadir Bidirectional Reflectance Distribution Function–Adjusted Reflectance
Autor: Yinghao Lin, Tingshun Fan, Dong Wang, Kun Cai, Yang Liu, Yuye Wang, Tao Yu, Nianxu Xu
Publikováno v: Agriculture, Vol 14, Iss 10, p 1759 (2024)
Moderate-Resolution Imaging Spectroradiometer (MODIS) Nadir Bidirectional Reflectance Distribution Function (BRDF)-Adjusted Reflectance (NBAR) products are being increasingly used for the quantitative remote sensing of vegetation. However, the assump
Externí odkaz: https://doaj.org/article/2b82c61ff3ba49a39de35d589edde608
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2
Akademický článek
Vegetation-shadow indices based on differences in effect of atmospheric-path radiation between optical bands
Autor: Jibo Yue, Jia Tian, Nianxu Xu, Qingjiu Tian
Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 104, Iss , Pp 102579- (2021)
The fractional coverage of the illuminated vegetation (IV), illuminated soil (IS), shaded vegetation (SV), and shaded soil (SS) are four essential structural parameters (fIV, fIS, fSV, and fSS) describing the vegetation canopy. Their correct estimati
Externí odkaz: https://doaj.org/article/b2e59b7dd9a048c5af4da3338405fd86
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3
Akademický článek
Estimation of the Conifer-Broadleaf Ratio in Mixed Forests Based on Time-Series Data
Autor: Ranran Yang, Lei Wang, Qingjiu Tian, Nianxu Xu, Yanjun Yang
Publikováno v: Remote Sensing, Vol 13, Iss 21, p 4426 (2021)
Most natural forests are mixed forests, a mixed broadleaf-conifer forest is essentially a heterogeneously mixed pixel in remote sensing images. Satellite missions rely on modeling to acquire regional or global vegetation parameter products. However,
Externí odkaz: https://doaj.org/article/f94e879f130048ba821578df0b5a9fe4
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4
Akademický článek
Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index
Autor: Nianxu Xu, Jia Tian, Qingjiu Tian, Kaijian Xu, Shaofei Tang
Publikováno v: Remote Sensing, Vol 11, Iss 10, p 1192 (2019)
Shadows exist universally in sunlight-source remotely sensed images, and can interfere with the spectral morphological features of green vegetations, resulting in imprecise mathematical algorithms for vegetation monitoring and physiological diagnoses
Externí odkaz: https://doaj.org/article/b6cfdc9d2de64b71b30ce7426c30ff6d
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7
Estimation of the Conifer-Broadleaf Ratio in Mixed Forests Based on Time-Series Data
Autor: Yanjun Yang, Ranran Yang, Lei Wang, Qingjiu Tian, Nianxu Xu
Publikováno v: Remote Sensing, Vol 13, Iss 4426, p 4426 (2021)
Remote Sensing
Volume 13
Issue 21
Pages: 4426
Most natural forests are mixed forests, a mixed broadleaf-conifer forest is essentially a heterogeneously mixed pixel in remote sensing images. Satellite missions rely on modeling to acquire regional or global vegetation parameter products. However,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::902e252798ea6913d8e2dd2a5b105436
https://www.mdpi.com/2072-4292/13/21/4426
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8
Development of soil moisture indices from differences in water absorption between shortwave-infrared bands
Autor: Nianxu Xu, Kaijian Xu, Qingjiu Tian, Jibo Yue, Jia Tian
Publikováno v: ISPRS Journal of Photogrammetry and Remote Sensing. 154:216-230
Soil moisture (SM) controls the exchange of water and heat energy between the land surface and the atmosphere through evaporation and plant transpiration, and timely and accurate estimates of soil moisture are crucial for many studies. Although remot
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eaf5f17e5715edcb325f3bb6ce7b6b10
https://doi.org/10.1016/j.isprsjprs.2019.06.012
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9
Vegetation-shadow indices based on differences in effect of atmospheric-path radiation between optical bands
Autor: Jia Tian, Qingjiu Tian, Jibo Yue, Nianxu Xu
Publikováno v: International Journal of Applied Earth Observation and Geoinformation. 104:102579
The fractional coverage of the illuminated vegetation (IV), illuminated soil (IS), shaded vegetation (SV), and shaded soil (SS) are four essential structural parameters (fIV, fIS, fSV, and fSS) describing the vegetation canopy. Their correct estimati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dceac9222266f8ede23d5e71c2e1a318
https://doi.org/10.1016/j.jag.2021.102579
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10
Analysis of Vegetation Red Edge with Different Illuminated/Shaded Canopy Proportions and to Construct Normalized Difference Canopy Shadow Index
Autor: Shaofei Tang, Qingjiu Tian, Kaijian Xu, Jia Tian, Nianxu Xu
Publikováno v: Remote Sensing, Vol 11, Iss 10, p 1192 (2019)
Remote Sensing
Volume 11
Issue 10
Pages: 1192
Shadows exist universally in sunlight-source remotely sensed images, and can interfere with the spectral morphological features of green vegetations, resulting in imprecise mathematical algorithms for vegetation monitoring and physiological diagnoses
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::956e9f97394fabc9ed94a7a53045ca20
https://www.mdpi.com/2072-4292/11/10/1192
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