Satellite Remote Sensing Drought Monitoring Methods Based on Different Biophysical Indicators

Yu Min; Wang Chunli

Vol.22, NO.2, 2011

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2011 > 22(2): 221-231

Yu Min, Wang Chunli. Satellite remote sensing drought monitoring methods based on different biophysical indicators. J Appl Meteor Sci, 2011, 22(2): 221-231.

Citation:

Yu Min, Wang Chunli. Satellite remote sensing drought monitoring methods based on different biophysical indicators. J Appl Meteor Sci, 2011, 22(2): 221-231.

Yu Min, Wang Chunli. Satellite remote sensing drought monitoring methods based on different biophysical indicators. J Appl Meteor Sci, 2011, 22(2): 221-231.

Citation:

Yu Min, Wang Chunli. Satellite remote sensing drought monitoring methods based on different biophysical indicators. J Appl Meteor Sci, 2011, 22(2): 221-231.

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Satellite Remote Sensing Drought Monitoring Methods Based on Different Biophysical Indicators

Yu Min^{1
,
,},
Wang Chunli²

1.
Heilongjiang Provincial Meteorological Bureau, Harbin 150001
2.
Heilongjiang Provincial Climate Center, Harbin 150030

Received Date: 2010-08-31
Rev Recd Date: 2010-12-24
Publish Date: 2011-04-30

Abstract

Abstract

As a frequent natural hazard, drought causes the heaviest damage to daily life and ecological environment among all natural disasters. The large scale and dynamic drought monitoring has been frontier and hot topic in the global climate change and food security research. Satellite remote sensing is the main method of obtaining distributed information of the land surface. However, the applicability of a drought monitoring method varies by region and period. So it's necessary to inspect and evaluate the drought monitoring method to ensure the validity and accuracy in drought monitoring.Vegetation index based I_VC, land surface temperature based and Surface Temperature-Normalized Difference Vegetation Index space (T_s-I_NDV space) based are compared to analyze and evaluate their characteristics and applicability in drought monitoring. The MODIS 16-day NDVI (MOD13A2) and 8-day T_s (MOD11A2) provided at 1 km spatial resolution as a gridded level-3 product in the Sinusoidal projection are used, and the Heilongjiang Province, the main food production area in China, is chosen as the study area. The monitoring period is from 9 May to 9 June of the year 2000 to 2008. The correlation between I_VC, I_TC, I_VTC and relative soil moisture in 10 cm and 20 cm depth, the correlation between I_VC, I_TC, I_VTC and the precipitation in the satellite monitoring period and the cumulative precipitation in the last 1-, 2-, 3-, 4-period time scales, the difference and the relationship between I_VC, I_TC, I_VTC are analyzed.Significant linear correlation is found between I_VTC and the relative soil moisture in 10 cm and 20 cm depth, especially for the 10 cm depth. The correlation between I_VTC and relative soil moisture is obviously better than that between I_TC, I_VC and the relative soil moisture. So, it can be judged that I_VTC may mirror the soil moisture better than I_VC and I_TC, and is more sensitive to shallow soil moisture. I_VTC is also found linearly correlated with precipitation in current monitoring period, as well as the cumulative precipitation in the last 1-, 2-, 3-, 4-period timescales. The correlations are better than those between I_TC, I_VC and precipitation as well as corresponding cumulative precipitation, which show that I_VTC is more sensitive to precipitation than I_VC and I_TC, and is closely related to not only current precipitation but also past cumulative precipitation. In the early growing season, I_VTC and I_TC are applicable in drought monitoring, while the fractional I_VC cover is too low to monitor drought. It is difficult to compare the drought among different areas with I_VC and I_TC, while based on the energy conservation principle, combining the I_NDV and T_s, I_VTC can reflect soil moisture better and is comparable in different areas. Furthermore, the land surface temperature implied by I_VTC gives more direct hint of drought than the I_NDV implied especially on the grassland, then in the crop land, brush land and forest land in sequence.
- drought monitoring;
- Vegetation Condition Index;
- Temperature Condition Index;
- Vegetation Temperature Condition Index

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References(36)

Figures and Tables

Fig. 1 The definition of I_VTC^{[27, 30]}

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Fig. 2 The spatial distribution of I_VC(a), I_TC(b), I_VTC (c) in the period 129 in 2004 (the white area is the water or the invalid value)

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Fig. 3 The spatial distribution of I_VC(a), I_TC(b), I_VTC(c) in the period 145 in 2004 (the white area is the water or the invalid value)

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图 4 2004年129时段I_VC, I_TC, I_VTC的关系散点图 (R为相关系数)

(a) 整个地表, (b) 森林, (c) 农田, (d) 草原草甸, (e) 灌丛

Fig. 4 The scatters plot of I_VC, I_TC, I_VTC in the period 129 in 2004 (R is the correlation coefficent)

(a) the whole study area, (b) forest, (c) crop, (d) grass, (e) shrub

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图 5 2004年145时段I_VC, I_TC, I_VTC的关系散点图 (R为相关系数)

(a) 整个地表, (b) 森林, (c) 农田, (d) 草原草甸, (e) 灌丛

Fig. 5 The scatters plot of I_VC, I_TC, I_VTC in the period 145 in 2004 (R is the correlation coefficent)

(a) the whole study area, (b) forest, (c) crop, (d) grass, (e) shrub

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Table 1 The correlation between I_TC, I_VC, I_VTC and soil relative moisture in the period 129

年份 (样本数)	指数	10 cm土壤相对湿度	20 cm土壤相对湿度
2000 (49)	I_TC	0.149	0.203
	I_VC	0.238^*	0.111
	I_VTC	0.290^***	0.170
2001 (61)	I_TC	-0.051	-0.048
	I_VC	0.185	0.178
	I_VTC	0.257^**	0.210
2002 (62)	I_TC	0.049	0.129
	I_VC	-0.040^*	-0.101
	I_VTC	0.139	0.177
2003 (67)	I_TC	-0.039	-0.165
	I_VC	-0.081	-0.107
	I_VTC	0.222^*	0.169
2004 (68)	I_TC	0.129	0.084
	I_VC	0.002	-0.098
	I_VTC	0.386^****	0.338^***
2005 (66)	I_TC	0.300^***	0.194^*
	I_VC	-0.101	-0.160
	I_VTC	0.330^***	0.248^**
2006 (64)	I_TC	-0.166	-0.021
	I_VC	0.220^*	0.022
	I_VTC	0.279^**	0.241^**
2007 (69)	I_TC	-0.217	-0.176
	I_VC	0.055	0.021
	I_VTC	0.283^**	0.253^*
2008 (71)	I_TC	0.461^*****	0.398^****
	I_VC	-0.084	-0.015
	I_VTC	0.467^*****	0.430^*****
注：***，，，，分别代表相关性通过0.001，0.01，0.02，0.05，0.1的显著性检验。

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Table 2 The correlation between I_TC, I_VC, I_VTC and soil relative moisture in the period 145

年份 (样本数)	指数	10 cm土壤相对湿度	20 cm土壤相对湿度
2000 (43)	I_TC	0.305^**	0.165
	I_VC	-0.302	0.144
	I_VTC	0.435^****	0.294^**
2001 (65)	I_TC	0.233^**	0.037
	I_VC	0.109	0.037
	I_VTC	0.264^**	0.189
2002 (60)	I_TC	0.132	0.119
	I_VC	0.232	0.298
	I_VTC	0.323^**	0.319^**
2003 (67)	I_TC	0.087	-0.165
	I_VC	-0.082	0.011
	I_VTC	0.251^**	0.160
2004 (68)	I_TC	0.198^*	0.191
	I_VC	0.213^*	0.198^*
	I_VTC	0.366^****	0.292^***
2005 (61)	I_TC	0.064	-0.045
	I_VC	-0.233	-0.160
	I_VTC	0.292	0.111
2006 (72)	I_TC	0.037	-0.089
	I_VC	0.093	0.022
	I_VTC	0.117	0.175
2007 (70)	I_TC	0.099	0.148
	I_VC	-0.235	0.021
	I_VTC	0.451^*****	0.432^*****
2008 (71)	I_TC	0.072	0.024
	I_VC	0.353^*****	0.354^*****
	I_VTC	0.306^****	0.331^****
注：***，，，，分别代表相关性通过0.001，0.01，0.02，0.05，0.1的显著性检验。

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Table 3 The correlation between I_TC, I_VC, I_VTC and precipitation in the period 129

年份	指数	超前时段
年份	指数	0	1	2	3	4
2000	I_TC	0.336	0.394	0.460	0.430	0.439
	I_VC	0.179	0.206	0.181	0.180	0.151
	I_VTC	0.504	0.551	0.539	0.568	0.568
2001	I_TC	0.256	0.160	0.130	0.095	0.079
	I_VC	0.117	0.302	0.299	0.265	0.261
	I_VTC	0.495	0.428	0.398	0.437	0.433
2002	I_TC	0.234	0.176	0.166	0.366	0.322
	I_VC	0.346	0.296	0.528	0.487	0.481
	I_VTC	0.246	0.258	0.343	0.181	0.228
2003	I_TC	0.229	0.200	0.141	0.089	0.116
	I_VC	0.100	0.044	-0.060	-0.080	-0.090
	I_VTC	0.165	0.232	0.231	0.213	0.213
2004	I_TC	-0.090	0.039	0.028	0.050	0.068
	I_VC	-0.157	-0.095	-0.111	-0.139	-0.142
	I_VTC	0.320	0.427	0.443	0.498	0.501
2005	I_TC	0.603	0.582	0.523	0.548	0.527
	I_VC	-0.022	-0.066	-0.035	-0.011	-0.002
	I_VTC	0.679	0.536	0.474	0.493	0.495
2006	I_TC	0.125	0.125	0.062	0.032	0.030
	I_VC	0.149	0.295	0.278	0.263	0.256
	I_VTC	0.361	0.349	0.368	0.382	0.381
2007	I_TC	0.160	0.059	0.185	0.189	0.200
	I_VC	-0.010	0.055	0.071	0.112	0.095
	I_VTC	0.239	0.277	0.081	0.011	-0.016
2008	I_TC	0.375	0.580	0.564	0.565	0.541
	I_VC	-0.200	-0.169	-0.128	-0.103	-0.115
	I_VTC	0.371	0.501	0.465	0.432	0.432

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Table 4 The correlation between I_TC, I_VC, I_VTC and precipitation in the period 145

年份	指数	超前时段
年份	指数	0	1	2	3	4
2000	I_TC	0.202	0.430	0.432	0.375	0.400
	I_VC	-0.381	-0.292	-0.265	-0.249	-0.272
	I_VTC	0.375	0.629	0.622	0.617	0.622
2001	I_TC	0.276	0.334	0.389	0.387	0.430
	I_VC	0.285	0.340	0.417	0.384	0.360
	I_VTC	0.480	0.594	0.546	0.514	0.508
2002	I_TC	0.125	0.162	0.189	0.152	0.087
	I_VC	0.130	0.126	0.151	0.159	0.175
	I_VTC	0.288	0.271	0.342	0.307	0.190
2003	I_TC	0.091	0.141	0.157	0.213	0.255
	I_VC	-0.023	-0.077	-0.100	-0.166	-0.180
	I_VTC	0.174	0.209	0.259	0.329	0.375
2004	I_TC	0.326	0.462	0.444	0.481	0.503
	I_VC	0.214	0.384	0.308	0.280	0.313
	I_VTC	0.549	0.628	0.642	0.690	0.673
2005	I_TC	0.643	0.529	0.454	0.420	0.403
	I_VC	0.204	0.197	0.242	0.209	0.213
	I_VTC	0.464	0.412	0.372	0.339	0.337
2006	I_TC	0.118	0.086	0.006	0.028	-0.010
	I_VC	-0.110	-0.090	0.004	0.002	0.027
	I_VTC	0.006	0.154	0.255	0.273	0.267
2007	I_TC	0.100	0.263	0.229	0.267	0.266
	I_VC	-0.163	-0.112	-0.110	-0.068	-0.108
	I_VTC	0.503	0.577	0.568	0.507	0.489
2008	I_TC	-0.263	-0.227	-0.063	-0.055	-0.026
	I_VC	-0.100	-0.020	0.112	0.104	0.075
	I_VTC	0.137	0.220	0.308	0.316	0.326

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