Application of GF-4 satellite in drought remote sensing monitoring: A case study of Southeastern Inner Mongolia

Juan NIE; Lei DENG; Xianglei HAO; Ming LIU; Ying HE

doi:10.11834/jrs.20187067

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Application of GF-4 satellite in drought remote sensing monitoring: A case study of Southeastern Inner Mongolia
Vol. 22, Issue 3, Pages: 400-407(2018)
Published： 2018-5 ，

Accepted： 29 May 2017
DOI： 10.11834/jrs.20187067

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聂娟, 邓磊, 郝向磊, 刘明, 贺英. 2018. 高分四号卫星在干旱遥感监测中的应用. 遥感学报, 22(3): 400–407

Nie J, Deng L, Hao X L, Liu M and He Y. 2018. Application of GF-4 satellite in drought remote sensing monitoring: A case study of Southeastern Inner Mongolia. Journal of Remote Sensing, 22(3): 400–407
聂娟, 邓磊, 郝向磊, 刘明, 贺英. 2018. 高分四号卫星在干旱遥感监测中的应用. 遥感学报, 22(3): 400–407 DOI： 10.11834/jrs.20187067.

Nie J, Deng L, Hao X L, Liu M and He Y. 2018. Application of GF-4 satellite in drought remote sensing monitoring: A case study of Southeastern Inner Mongolia. Journal of Remote Sensing, 22(3): 400–407 DOI： 10.11834/jrs.20187067.

摘要

高分四号(GF-4)是国家高分辨率对地观测系统重大专项天基系统中的一颗地球同步卫星，为探索GF-4号卫星在大面积干旱监测中的应用，本文对该卫星在快速监测大面积干旱方面的应用能力进行了初步探讨。以2016年内蒙古自治区巴林左旗和巴林右旗地区严重旱灾为例，利用NDVI差值对该区域的干旱情况进行了监测，并与MODIS NDVI产品进行对比分析，得到了研究区内2016年干旱分布情况，结果表明其总体趋势与MODIS NDVI产品一致，且细节信息更加丰富。本文主要是GF-4卫星数据结合GF-1卫星数据对内蒙部分干旱区域进行监测和分析，体现了国产高分辨率卫星数据，尤其是GF-4卫星数据，对提高中国突发灾害的应对能力具有重要意义。

Abstract

GF-4 is a geostationary satellite in the significant special space-based system of the National High-Resolution Earth Observation System. The GF-4 satellite has visible and mid-infrared bands with resolutions of 50 and 400 m

respectively. The satellite can be used to observe China and its surrounding areas and obtain patterns from continuous observation of areas with a width of 400 km by command control and with a revisit period of up to 20 s. The GF-4 satellite possesses higher spatial and temporal resolutions and achieves a more detailed observation of the Earth’s surface compared with MODIS sensors. Since the beginning of summer in 2016

Inner Mongolia

the study area

has been experiencing continuous high temperatures and rare rainfall

with its precipitation in early August being less than 10 mm

which is 80% to 100% less than normal and the lowest recorded value in history. The application of the GF-4 satellite in the rapid monitoring of large-area drought was discussed in this study. The degree of drought in the study area was evaluated. According to the collected data

no large-scale drought occurred in Inner Mongolia in 2013. During this period

vegetation grew well

and this growth was close to that in a normal year. The severe drought that occurred in Bahrain Zuoqi and Bahrain Youqi areas in Inner Mongolia Autonomous Region in 2016 was regarded as an example

and GF-4 and GF-1 data on August 14

2016

and GF-1 data on August 10

2013

were selected. First

the NDVI of images was calculated. Second

a quantitative analysis of GF-4 and GF-1 NDVI was conducted

and the transformation equation was obtained to eliminate the difference between different sensors. Third

the difference between the converted NDVI and normal-year GF-1 NDVI was calculated and compared with the drought distribution through the MODIS anomaly vegetation index in the same period. Finally

the drought distribution and drought degree of NDVI were analyzed. Linear transformation of the NDVI values of GF-1 and GF-4 sensors was conducted using a linear equation. According to the drought distribution in the study area in 2016

severe-drought areas were mainly distributed in the northwest part of the study area and partly distributed in the central plains. Among the drought areas

grassland was the most severe. The northeastern plains of cultivated land looked pale blue. Growth was slightly better than that in 2013

and the disaster situation was unobvious. The drought distribution trend of the GF-4 images was consistent with the drought distribution trend of MODIS NDVI

and the extent of the disaster was approximately similar. GF-4 satellite data were combined with GF-1 satellite data to monitor and analyze several arid regions in Inner Mongolia. Results show that GF-4 satellite data can be utilized to observe large areas. The satellite allows for long-term continuous observation of a region

provides real-time and continuous massive data for drought monitoring

and is important in improving emergency response capabilities.

关键词

高分四号高分一号干旱监测NDVI内蒙古自治区

Keywords

GF-4 satelliteGF-1 satellitedrought remote sensing monitoringNDVIInner mongolia

references

白照广. 2013. 高分一号卫星的技术特点. 中国航天(8): 5–9

Bai Z G. 2013. The technology characteristics of GF-1 satellite. Aerospace China(8): 5–9 (

陈星, 刘智华. 2015. 环境一号卫星与MODIS NDVI的定量关系分析. 遥感信息, 30(4): 85–90

Chen X and Liu Z H. 2015. Quantitative analysis of relationship between HJ-1 NDVI and MODIS NDVI. Remote Sensing Information, 30(4): 85–90 (

范兴旺. 多源遥感影像定量关系及归一化差异植被指数一致性研究. 北京: 中国科学院大学

Fan X W. 2015. Study on the quantitative relationship of multi-source remote sensing images and the uniformity of the normalized difference vegetation index. Beijing: University of Chinese Academy of Sciences

Guyot G and Gu X F. 1994. Effect of radiometric corrections on NDVI-determined from SPOT-HRV and Landsat-TM data. Remote Sensing of Environment, 49(3): 169–180

Hill J and Aifadopoulou D. 1990. Comparative analysis of landsat-5 TM and SPOT HRV-1 data for use in multiple sensor approaches. Remote Sensing of Environment, 34(1): 55–70

计淇才. 2011. 遥感干旱指数的时空格局适应性研究. 郑州: 郑州大学: 10

Ji Q C. 2011. The Adaptation Research on Spatiotemporal Patterns of Remote Sensing Drought Index. Zhengzhou: Zhengzhou University: 10

Li Z N and Chen Z X. 2011. Remote sensing indicators for crop growth monitoring at different scales//Proceedings of 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Vancouver, Canada: IEEE: 4062–4065 [DOI: 10.1109/IGARSS.2011.6050124]

刘爱霞, 王长耀, 刘正军, 牛铮. 2003. 基于RS与GIS的干旱区棉花信息提取及长势监测. 地理与地理信息科学, 19(4): 101–104

Liu A X, Wang C Y, Liu Z J and Nui Z. 2003. Cotton information extraction and growth monitoring in arid area based on RS and GIS. Geography and Geo-Information Science, 19(4): 101–104 (

毛学森, 张永强, 沈彦俊. 2002. 水分胁迫对冬小麦植被指数NDVI影响及其动态变化特征. 干旱地区农业研究, 20(1): 69–71

Mao X S, Zhang Y Q and Shen Y J. 2002. Effects of water stress in different stages on winter wheat vegetation index and NDVI’s dynamic. Agricultural Research in the Arid Areas, 20(1): 69–71 (

Miura T, Huete A and Yoshioka H. 2006. An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data. Remote Sensing of Environment, 100(2): 223–236

Miura T, Turner J P and Huete A R. 2013. Spectral compatibility of the NDVI across VIIRS, MODIS, and AVHRR: an analysis of atmospheric effects using EO-1 Hyperion. IEEE Transactions on Geoscience and Remote Sensing, 51(3): 1349–1359

Peters A J, Walter-Shea E A, Ji L, Viña A, Hayes M and Svoboda M D. 2002. Drought monitoring with NDVI-Based standardized vegetation index. Photogrammetric Engineering and Remote Sensing, 68(1): 71–75

Steven M D, Malthus T J, Baret F, Xu H and Chopping M J. 2003. Intercalibration of vegetation indices from different sensor systems. Remote Sensing of Environment, 88(4): 412–422

徐涵秋, 张铁军. 2011. ASTER与Landsat ETM+植被指数的交互比较. 光谱学与光谱分析, 31(7): 1902–1907

Xu H Q and Zhang T J. 2011. Cross comparison of ASTER and Landsat ETM+multispectral measurements for NDVI and SAVI vegetation indices. Spectroscopy and Spectral Analysis, 31(7): 1902–1907 (

晏明, 张磊. 2010. 距平植被指数在吉林省农作物干旱监测中的应用. 现代农业科技(11): 15–16

Yan M and Zhang L. 2010. Application the anomalies of vegetation index in crops drought monitoring in Jilin province. Modern Agricultural Sciences and Technology(11): 15–16 (

叶泽田, 顾行发, 刘先林, 王志民. 1999. 遥感模拟图像应用于不同传感器光谱性能分析. 武汉测绘科技大学学报, 24(4): 295–299

Ye Z T, Gu X F, Liu X L and Wang Z M. 1999. Analysis of spectral characteristics among different sensors by use of simulated RS images. Journal of Wuhan Technical University of Surveying and Mapping, 24(4): 295–299 (

赵凯, 徐剑波, 赵之重, 宋立生, 肖科. 2013. HJ-1A/B CCD与Landsat TM/ETM+植被指数的交互比较. 遥感技术与应用, 28(4): 674–680, 738

Zhao K, Xu J B, Zhao Z Z, Song L S and Xiao K. 2013. Cross comparison of HJ-1A/B CCD and Landsat TM/ETM+multispectral measurements for NDVI, SAVI and EVI vegetation index. Remote Sensing Technology and Application, 28(4): 674–680, 738 (

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