Mapping high temperature damaged area of paddy rice along the Yangtze River using Moderate Resolution Imaging Spectroradiometer data

Figures & data

Figure 1. Location of study area and distribution of meteorological stations.

Figure 2. Methodological approach used in the current study.

Figure 3. Regression between daily mean air temperature and MODIS LST for model calibration. TD (a), TN (b), AD (c), AN (d) represent Terra Day time LST, Terra Night time LST, Aqua Daytime LST and Aqua Night time LST, respectively. N represents the sample number.

Figure 4. Validation of daily mean air temperature and daily maximum temperature estimated from MODIS LST (a) observed$T_{\mathrm{m}\mathrm{e}\mathrm{a}\mathrm{n}}$ and estimated $T_{\mathrm{m}\mathrm{e}\mathrm{a}\mathrm{n}}$ using both Terra and Aqua nighttime LST, and (b) observed $T_{\mathrm{m}\mathrm{a}\mathrm{x}}$and estimated $T_{\mathrm{m}\mathrm{a}\mathrm{x}}$ using TVX.

Table 1. Statistics of paddy rice cultivated area along the Yangtze River in 2013.

Province	Estimated SCR area (ha)	Estimated DCR area (ha)	Statistical total area (ha)	Estimated total area (ha)	Deviation error (%)
Jiangsu	2,310,000	0	2,266,000	2,310,000	1.9
Anhui	2,005,000	39,000	2,214,000	2,044,000	−8.3
Hubei	1,890,000	42,000	2,101,000	1,932,000	−8.7
Hunan	1,960,000	1,950,000	4,085,000	3,910,000	−4.4
Jiangxi	1,220,000	2,218,000	3,338,000	3,438,000	2.9
Sichuan	2,110,000	0	1,991,000	2,110,000	5.6

Figure 5. Rice cultivated area in the study area in 2013 estimated using MODIS data.

Table 2. Estimated high temperature damaged area of paddy rice in 2013 based on MODIS data.

Province	SCR damaged area (ha)	DCR damaged area (ha)	Total damaged area (ha)	Total damaged area (%)
Jiangsu	814,000	0	814,000	35.2
Anhui	1,288,000	9,000	1,297,000	63.5
Hubei	924,000	18,000	942,000	48.8
Hunan	552,000	586,000	1,138,000	29.1
Jiangxi	437,000	412,000	849,000	24.5
Sichuan	616,000	0	616,000	29.2

Figure 6. High temperature damaged area of paddy rice in the study area in 2013.