A Time Series based Study of MODIS NDVI for Vegetation Cover

被引：0

作者：

Srivastava, Harsh ^{[1
]}

Pant, Triloki ^{[1
]}

机构：

[1] IIIT ALLAHABAD, Prayagraj, Uttar Pradesh, India

来源：

2020 IEEE INDIA GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (INGARSS) | 2020年

关键词：

ARIMA; Change detection; Classification; MODIS; NDVI; Remote sensing; SVM; Time series;

D O I：

10.1109/InGARSS48198.2020.9358952

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

In this paper, the vegetation cover of Prayagraj, Uttar Pradesh has been studied with the time series data. For the study, MODIS NDVI 250m time series data have been used. For the classification, a pixel based SVM classifier is applied on 20 images of the data set. The classified images are used pairwise as pre and post harvesting outputs to generate change detection map, and to calculate the percentage vegetation cover of the study area. Further, a data set containing 158 samples with ARIMA time series model has been tested. The high vegetation class for the testing samples is predicted with mean squared error of 0.00604.

引用

页码：21 / 24

页数：4

共 50 条

[1] Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series
Jacquin, Anne
Sheeren, David
Lacombe, Jean-Paul
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2010, 12 : S3 - S10
[2] Land-Cover Vegetation Change Detection based on Harmonic Analysis of MODIS NDVI Time Series Data
Jung, Myunghee
Chang, Eunmi
KOREAN JOURNAL OF REMOTE SENSING, 2013, 29 (04) : 351 - 360
[3] Phenology-based classification of vegetation cover types in Northeast China using MODIS NDVI and EVI time series
Yan, Enping
Wang, Guangxing
Lin, Hui
Xia, Chaozong
Sun, Hua
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2015, 36 (02) : 489 - 512
[4] Diagnosis of Vegetation Recovery Using MODIS NDVI Time Series
Yang, Wentao
Wang, Ming
Shi, Peijun
Lu, Lili
2012 4TH INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY (ESIAT 2012), 2013, 14 : 141 - 146
[5] SPATIAL AND TEMPORAL CHANGES OF VEGETATION COVER IN CHINA BASED ON MODIS NDVI
Kasoro, F. R.
Yan, L.
Zhang, W.
ASANTE-BADU, B.
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2021, 19 (02): : 1371 - 1390
[6] Estimating vegetation phenological trends using MODIS NDVI time series
Torma, Markus
Kervinen, Mikko
Anttila, Saku
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS II, 2011, 8181
[7] Analysis of vegetation cover change in north hilly and gully regions of Yan'an by using MODIS NDVI time series data
Lei, Yanpeng
Sun, Zhihui
Liu, Zhichao
Cao, Xuemei
EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 3, 2011, : 445 - 451
[8] Land Cover Classification in Heihe River Basin with Time series MODIS NDVI Data
Gu, Juan
Li, Xin
Huang, Chunlin
FIFTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 2, PROCEEDINGS, 2008, : 477 - 481
[9] Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series
Kong, Fanjie
Li, Xiaobing
Wang, Hong
Xie, Dengfeng
Li, Xiang
Bai, Yunxiao
REMOTE SENSING, 2016, 8 (09):
[10] A Relative Density Ratio-Based Framework for Detection of Land Cover Changes in MODIS NDVI Time Series
Anees, Asim
Aryal, Jagannath
O'Reilly, Malgorzata M.
Gale, Timothy J.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 9 (08) : 3359 - 3371

← 1 2 3 4 5 →