Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data

Xue Wang; Kun Tan; Yaqin Sun

doi:10.1109/IGARSS.2016.7730391

Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data

Xue Wang
, Kun Tan
, Yaqin Sun

China University of Mining and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With the Geographic Information System (GIS) analytical tools and Remote Sensing technology, the main territory's Net Primary Productivity (NPP) in China from 2001 to 2010 is estimated based on CASA model. The analysis of the temporal and spatial variations in NPP shown that NPP in the southern regions shows increase trend after the first five years' decrease, in addition, the southern region of China generally has higher NPP as the northwest is significantly lower than other regions Moreover, the influence of climatic changes on the NPP's evolution represent that the NPP have different influent factors in different regions and periods.

Original language	English
Title of host publication	2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5338-5341
Number of pages	4
ISBN (Electronic)	9781509033324
DOIs	https://doi.org/10.1109/IGARSS.2016.7730391
State	Published - 1 Nov 2016
Externally published	Yes
Event	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2016-November

Conference

Conference	36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Country/Territory	China
City	Beijing
Period	10/07/16 → 15/07/16

Keywords

Carnegie Ames Stanford approach model
MODIS
Net Primary Productivity

Access to Document

10.1109/IGARSS.2016.7730391

Cite this

Wang, X., Tan, K., & Sun, Y. (2016). Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings (pp. 5338-5341). Article 7730391 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2016.7730391

Wang, Xue ; Tan, Kun ; Sun, Yaqin. / Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data. 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 5338-5341 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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title = "Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data",

abstract = "With the Geographic Information System (GIS) analytical tools and Remote Sensing technology, the main territory's Net Primary Productivity (NPP) in China from 2001 to 2010 is estimated based on CASA model. The analysis of the temporal and spatial variations in NPP shown that NPP in the southern regions shows increase trend after the first five years' decrease, in addition, the southern region of China generally has higher NPP as the northwest is significantly lower than other regions Moreover, the influence of climatic changes on the NPP's evolution represent that the NPP have different influent factors in different regions and periods.",

keywords = "Carnegie Ames Stanford approach model, MODIS, Net Primary Productivity",

author = "Xue Wang and Kun Tan and Yaqin Sun",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

year = "2016",

month = nov,

day = "1",

doi = "10.1109/IGARSS.2016.7730391",

language = "英语",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5338--5341",

booktitle = "2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings",

address = "美国",

}

Wang, X , Tan, K & Sun, Y 2016, Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data. in 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings., 7730391, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2016-November, Institute of Electrical and Electronics Engineers Inc., pp. 5338-5341, 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016, Beijing, China, 10/07/16. https://doi.org/10.1109/IGARSS.2016.7730391

Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data. / Wang, Xue ; Tan, Kun; Sun, Yaqin.
2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. p. 5338-5341 7730391 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sun, Yaqin

PY - 2016/11/1

Y1 - 2016/11/1

N2 - With the Geographic Information System (GIS) analytical tools and Remote Sensing technology, the main territory's Net Primary Productivity (NPP) in China from 2001 to 2010 is estimated based on CASA model. The analysis of the temporal and spatial variations in NPP shown that NPP in the southern regions shows increase trend after the first five years' decrease, in addition, the southern region of China generally has higher NPP as the northwest is significantly lower than other regions Moreover, the influence of climatic changes on the NPP's evolution represent that the NPP have different influent factors in different regions and periods.

AB - With the Geographic Information System (GIS) analytical tools and Remote Sensing technology, the main territory's Net Primary Productivity (NPP) in China from 2001 to 2010 is estimated based on CASA model. The analysis of the temporal and spatial variations in NPP shown that NPP in the southern regions shows increase trend after the first five years' decrease, in addition, the southern region of China generally has higher NPP as the northwest is significantly lower than other regions Moreover, the influence of climatic changes on the NPP's evolution represent that the NPP have different influent factors in different regions and periods.

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KW - MODIS

KW - Net Primary Productivity

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DO - 10.1109/IGARSS.2016.7730391

M3 - 会议稿件

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BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Wang X , Tan K, Sun Y. Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. p. 5338-5341. 7730391. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2016.7730391

Access the spatiotemporal variation of Net Primary Productivity in China using MODIS and meteorology data

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Keywords

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