Global Vegetation Health: Long-Term Data Records

被引：15
作者：
Kogan, Felix [1 ]
Guo, Wei [2 ]
Jelenak, Aleksandar [3 ]
机构：
[1] NESDIS NOAA, Ctr Satellite Applicat & Res STAR, Washington, DC USA
[2] IMSG Inc, Washington, DC USA
[3] Univ Corp Atmospher Res, Washington, DC USA
来源：
USE OF SATELLITE AND IN-SITU DATA TO IMPROVE SUSTAINABILITY | 2011年
关键词：
Vegetation health; 30-year 4-km data records; Vegetation Condition Index (VCI); Temperature Condition Index (TCI) and Vegetation health indices (VHI); NDVI and BT; HIGH-RESOLUTION-RADIOMETER; AVHRR; SATELLITE;
D O I：
10.1007/978-90-481-9618-0_28
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The new Global Vegetation Health (GVH) data set has been developed for operational and scientific purposes. The GVH has advantages before other long-term global data sets, being the longest (30-year), having the highest spatial resolution (4-km), containing, in addition to NDVI, data and products from infrared channels, originally observed reflectance/emission values, no-noise indices, biophysical climatology and what is the most important, products used for monitoring the environment and socioeconomic activities. The processed data and products are ready to be used without additional processing for monitoring, assessments and predictions in agriculture, forestry, climate change and forcing, health, invasive species, deceases, ecosystem addressing such topics as food security, land cover land change, climate change, environmental security and others.
引用
收藏
页码：247 / +
页数：2
相关论文
共 50 条
[21]   Monitoring Cumulative Long-Term Vegetation Changes Over the Athabasca Oil Sands Region [J].
Latifovic, Rasim ;
Pouliot, Darren .
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2014, 7 (08) :3380-3392
[22]   An examination of the long-term CO records from MOPITT and IASI: comparison of retrieval methodology [J].
George, M. ;
Clerbaux, C. ;
Bouarar, I. ;
Coheur, P. -F. ;
Deeter, M. N. ;
Edwards, D. P. ;
Francis, G. ;
Gille, J. C. ;
Hadji-Lazaro, J. ;
Hurtmans, D. ;
Inness, A. ;
Mao, D. ;
Worden, H. M. .
ATMOSPHERIC MEASUREMENT TECHNIQUES, 2015, 8 (10) :4313-4328
[23]   Detecting long-term changes to vegetation in northern Canada using the Landsat satellite image archive [J].
Fraser, R. H. ;
Olthof, I. ;
Carriere, M. ;
Deschamps, A. ;
Pouliot, D. .
ENVIRONMENTAL RESEARCH LETTERS, 2011, 6 (04)
[24]   A long-term and comprehensive assessment of the urbanization-induced impacts on vegetation net primary productivity [J].
Guan, Xiaobin ;
Shen, Huanfeng ;
Li, Xinghua ;
Gan, Wenxia ;
Zhang, Liangpei .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 669 :342-352
[25]   Evaluating temporal consistency of long-term global NDVI datasets for trend analysis [J].
Tian, Feng ;
Fensholt, Rasmus ;
Verbesselt, Jan ;
Grogan, Kenneth ;
Horion, Stephanie ;
Wang, Yunjia .
REMOTE SENSING OF ENVIRONMENT, 2015, 163 :326-340
[26]   Long-term record of top-of-atmosphere albedo over land generated from AVHRR data [J].
Song, Zhen ;
Liang, Shunlin ;
Wang, Dongdong ;
Zhou, Yuan ;
Jia, Aolin .
REMOTE SENSING OF ENVIRONMENT, 2018, 211 :71-88
[27]   NDVI-indicated long-term vegetation dynamics in Mongolia and their response to climate change at biome scale [J].
Bao, Gang ;
Bao, Yuhai ;
Sanjjava, Amarjargal ;
Qin, Zhihao ;
Zhou, Yi ;
Xu, Guang .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2015, 35 (14) :4293-4306
[28]   Building Long-term and Consistent Vegetation Index Based on Association Analysis between Different VI Products [J].
Sha, Zongyao ;
Bai, Yongfei .
ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6, 2012, 518-523 :5261-5266
[29]   NDVI-Based Long-Term Vegetation Dynamics and Its Response to Climatic Change in the Mongolian Plateau [J].
Bao, Gang ;
Qin, Zhihao ;
Bao, Yuhai ;
Zhou, Yi ;
Li, Wenjuan ;
Sanjjav, Amarjargal .
REMOTE SENSING, 2014, 6 (09) :8337-8358
[30]   A Global, Multiproduct Analysis of Coastal Marine Heatwaves: Distribution, Characteristics, and Long-Term Trends [J].
Marin, Maxime ;
Feng, Ming ;
Phillips, Helen E. ;
Bindoff, Nathaniel L. .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2021, 126 (02)
12345