Results 161 to 170 of about 111,427 (210)

[Performance evaluation of GIMMS NDVI based on MODIS NDVI and SPOT NDVI data].

Ying yong sheng tai xue bao = The journal of applied ecology, 2019
The study evaluated GIMMS NDVI based on MODIS NDVI and SPOT NDVI over the same period from 2000 to 2015. We assessed their absolute values, dynamics, trends and cross-relationships between any two of the NDVIs for the national scale, as well as four separate land use types, i.e., paddy field, dry land, forest, and grassland.
Yi Xuan, Zhu, Yang Jian, Zhang, Jia Xing, Zu, Bin, Che, Ze, Tang, Nan, Cong, Jun Xiang, Li, Ning, Chen   +7 more
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NDVI Optimization Using Genetic Algorithm

2011 7th Iranian Conference on Machine Vision and Image Processing, 2011
Applying ratioing on multispectral images is one of the important techniques used in remote sensing. In this paper a formula containing multiplication, addition and a division at the end is proposed to calculate a measure for classifying land covers. Applying this formula on each pixel of the multispectral image together with a set of thresholds, one ...
Peyman Kabiri, Mohammad H. Pandi, Sirous Kourki Nejat, Hamid Ghaderi   +3 more
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Temporal variations of NDVI and correlations between NDVI and hydro-climatological variables at Lake Baiyangdian, China

International Journal of Biometeorology, 2013
In this paper, correlations between vegetation dynamics (represented by the normalized difference vegetation index (NDVI)) and hydro-climatological factors were systematically studied in Lake Baiyangdian during the period from April 1998 to July 2008. Six hydro-climatological variables including lake volume, water level, air temperature, precipitation,
Fei, Wang, Xuan, Wang, Ying, Zhao, Zhifeng, Yang   +3 more
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An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data

International Journal of Remote Sensing, 2005
Daily daytime Advanced Very High Resolution Radiometer (AVHRR) 4‐km global area coverage data have been processed to produce a Normalized Difference Vegetation Index (NDVI) 8‐km equal‐area dataset from July 1981 through December 2004 for all continents except Antarctica.
Compton J. Tucker, Jorge E. Pinzon, Molly E. Brown, Daniel A. Slayback, Edwin W. Pak, Robert Mahoney, Eric F. Vermote, Nazmi El Saleous   +7 more
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Spatial-Temporal Changes of Vegetation Restoration in Yan'an Based on MODIS NDVI and Landsat NDVI

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
In order to investigate the features of surface vegetation change in Yan'an during later stage of the Grain for Green Project (GGP), and to study the vegetation restoration since the construction of north area of Yan'an new area. This study, based on MODIS-NDVI, aims to analyze the spatial-temporal trend changes of vegetation coverage in Yan'an.
Zihui Zhi, Hao Yin, Na Lu, Xinxin Zhang, Kun Yu, Xu Guo, Hao Qi   +6 more
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Agreement assessment of NOAA/AVHRR NDVI with Landsat TM NDVI for mapping burned forested areas

International Journal of Remote Sensing, 2002
Meteorological satellites are appropriate for operational applications related to early warning, monitoring and damage assessment of forest fires. Environmental or resources satellites, with better spatial resolution than meteorological satellites, enable the delineation of the affected areas with a higher degree of accuracy.
C. Domenikiotis, N. R. Dalezios, A. Loukas, M. Karteris   +3 more
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Daily NDVI Relationship to Cloud Cover

Journal of Applied Meteorology and Climatology, 2007
Abstract A normalized difference vegetation index (NDVI) cloud index (NCI) was derived from Pathfinder Advanced Very High Resolution Radiometer (AVHRR) daily NDVI data and compared with observed cloud amounts and a sunshine duration–cloud index (SCI) over an area of diverse land cover. Ground observations from 120 meteorological stations
Taikan Oki, Qiuhong Tang
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Are all NDVI maps created equal – comparing vineyard NDVI data from proximal and remote sensing

2021
Vegetation indices (VI), particularly the normalized difference vegetation index (NDVI), are often used as data layers for management unit delineation. They can be derived from various sensor configurations and platforms, both remote and proximal. The question is how much difference is there between VI maps from various sensing systems in a production ...
Kasimati, A., Kalogrias, A., Psiroukis, V., Grivakis, K., Taylor, James, Fountas, S.   +5 more
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NDVI seasonal amplitude and its variability

International Journal of Remote Sensing, 2008
NDVI (Normalized Difference Vegetation Index) is a remotely sensed index of vegetation greenness.
Y. Julien, J. A. Sobrino
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A comparison of NDVI intercalibration methods

International Journal of Remote Sensing, 2017
ABSTRACTSensor differences pose a challenge when using normalized difference vegetation index (NDVI) data calculated from different sensors. Determining an optimal intercalibration strategy is critical whenever a long-term comparison of NDVI record is required.
Xingwang Fan, Yuanbo Liu
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