Temperature Vegetation Dryness Index and Its Application in Agricultural Drought Monitoring

doi:10.11924/j.issn.1000-6850.casb2021-0011

Abstract

Abstract:

Accurate and timely monitoring of crop drought conditions can provide strategies for responding to crop disasters and crop losses, and against financial loss. The study took Heilongjiang Province, a major agricultural province in China, as the research area. Based on the temperature vegetation dryness index (TVDI), with high sensitivity and precision, the study monitored the drought degree and spatial and temporal pattern in the growth period of dry crop. Savitzky-Golay (S-G) filter method was selected to remove normalized difference vegetation index (NDVI) and land surface temperature (LST) noise, then the TVDI was calculated from the re-created NDVI and LST data. Combined with local meteorological data and soil moisture data observed simultaneously in field, the TVDI was verified quantitatively. The results show that: NDVI-LST feature space established in this paper accords with triangular relationship, which is consistent with the previous research results. TVDI has significant negative correlation with surface soil moisture in different growth stages, and it shows that TVDI has the ability to reflect the dry and wet conditions of soil. Based on the TVDI drought classification grade results, drought occurs in each period of dry crop growth period in 2017, and the frequency and range of drought in western are higher than that in eastern Heilongjiang Province. At the beginning of sowing season, spring drought is more serious in the western part of Heilongjiang, especially in Qiqihar City. In early July, the influence of drought on the western part of Heilongjiang is alleviated,and the impact of the drought is gradually shrinking. The correctness rate of drought grade between TVDI and soil moisture is relatively high, and the consistency of the correctness rate basically reaches 90%. In conclusion, the TVDI index constructed based on MODIS data can reflect the agricultural drought in Heilongjiang Province. Our study can provide a basis for agricultural drought monitoring, as well as scientific reference for drought relief in Heilongjiang Province.

Key words: drought monitoring, TVDI, standardized soil moisture index, MODIS

CLC Number:

S127

Jiang Lanqi, Wang Ping, Jiang Lixia, Gong Lijuan, Li Xiufen, Zhang Hengchong, Wang Xiaodi. Temperature Vegetation Dryness Index and Its Application in Agricultural Drought Monitoring[J]. Chinese Agricultural Science Bulletin, 2021, 37(29): 132-139.

Figures/Tables 7

References 33

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	8日	18日	28日
5月	y=-0.1943x+0.9493(R²=0.1152)	y=-0.0607x+0.8174(R²=0.0175)	y=-0.1176x+0.8217(R²=0.0429)
6月	y=-0.2283x+0.8827(R²=0.2834)	y=-0.0317x+0.8265(R²=0.0029)	y=-0.1539x+0.8656(R²=0.0460)
7月	y=-0.0865x+0.7454(R²=0.0251)	y=-0.1585x+0.7958(R²=0.0251)	y=-0.2229x+0.8642(R²=0.0841)
8月	y=-0.0399x+0.9174(R²=0.0172)	y=-0.2023x+0.9296(R²=0.1538)	y=-0.1854x+0.8928(R²=0.1028)
9月	y=-0.0613x+0.8697(R²=0.0095)	y=-0.0977x+0.9665(R²=0.0563)	y=-0.2202x+0.9671(R²=0.5651)

	8日	18日	28日
5月	y=-0.1943x+0.9493(R²=0.1152)	y=-0.0607x+0.8174(R²=0.0175)	y=-0.1176x+0.8217(R²=0.0429)
6月	y=-0.2283x+0.8827(R²=0.2834)	y=-0.0317x+0.8265(R²=0.0029)	y=-0.1539x+0.8656(R²=0.0460)
7月	y=-0.0865x+0.7454(R²=0.0251)	y=-0.1585x+0.7958(R²=0.0251)	y=-0.2229x+0.8642(R²=0.0841)
8月	y=-0.0399x+0.9174(R²=0.0172)	y=-0.2023x+0.9296(R²=0.1538)	y=-0.1854x+0.8928(R²=0.1028)
9月	y=-0.0613x+0.8697(R²=0.0095)	y=-0.0977x+0.9665(R²=0.0563)	y=-0.2202x+0.9671(R²=0.5651)

干旱等级	发育阶段
干旱等级	播种-出苗	出苗-拔节	拔节-抽雄	抽雄-乳熟	乳熟-成熟
无旱	R>65	R>60	R>70	R>75	R>65
轻旱	55<R≤65	50<R≤60	60<R≤70	65<R≤75	55<R≤65
中旱	45<R≤55	40<R≤50	50<R≤60	55<R≤65	45<R≤55
重旱	35<R≤45	30<R≤40	40<R≤50	45<R≤55	35<R≤45
特旱	R≤35	R≤30	R≤40	R≤45	R≤35

干旱等级	发育阶段
干旱等级	播种-出苗	出苗-拔节	拔节-抽雄	抽雄-乳熟	乳熟-成熟
无旱	R>65	R>60	R>70	R>75	R>65
轻旱	55<R≤65	50<R≤60	60<R≤70	65<R≤75	55<R≤65
中旱	45<R≤55	40<R≤50	50<R≤60	55<R≤65	45<R≤55
重旱	35<R≤45	30<R≤40	40<R≤50	45<R≤55	35<R≤45
特旱	R≤35	R≤30	R≤40	R≤45	R≤35

时间	发育阶段	判对率%
5.8	播种-出苗	97.30
5.18	播种-出苗	89.19
5.28	三叶-开花	89.19
6.8		89.19
6.18		86.49
6.28	三叶-开花	91.89
7.8		78.38
7.18		75.68
7.28	抽穗-乳熟/鼓粒	72.97
8.8	抽穗-乳熟/鼓粒	100
8.18	抽穗-乳熟/鼓粒	94.59
8.28	抽穗-乳熟/鼓粒	81.08
9.8	成熟	94.59
9.18		97.30
9.28		100