Climate-Adaptive based Cross-Region Crop Damage Assessment
基于气候自适应的跨区域农作物损失评估
Using the proposed climate-adaptive cross-region mapping method (R² = 0.82), we rapidly assessed the impact of the 2021 Henan extreme flood on maize in Jiaozuo, Henan Province. The results indicate that the southern and southeastern regions of Jiaozuo suffered the most severe maize damage.
使用气候自适应跨区域制图方法（R²=0.82），快速评估了“2021年河南特大洪涝灾害”对河南省焦作市玉米作物的影响。焦作南部和东南部地区玉米受灾最为严重。
The analysis reveals that 33,922.33 hectares of maize in Jiaozuo were damaged by floods, with 1,357.42 hectares severely affected. Wuzhi suffered the most damage, with 11,415.79 hectares affected.
焦作玉米受灾总面积为33,922.33公顷，重灾面积为1,357.42公顷。其中，武陟受灾最为严重，受灾总面积达11,415.79公顷。
Region/ha |
Slight Damage |
Moderate Damage |
Severe damage |
Extreme Damage |
SUM |
Wuzhi |
7499.56 |
1585.32 |
1779 |
551.91 |
11415.79 |
Xiuwu |
2392.15 |
839.64 |
930.29 |
531.32 |
4693.4 |
Qinyang |
2887.22 |
749.47 |
587.8 |
94.8 |
4319.29 |
Mengzhou |
2488.58 |
601.26 |
431.56 |
56.47 |
3577.87 |
Boai |
2521.93 |
401.49 |
189.43 |
15.89 |
3128.74 |
Wenxian |
2364.48 |
330.56 |
176.48 |
6.24 |
2877.76 |
Shanyang |
2141.88 |
436.3 |
363..83 |
59.29 |
2637.47 |
Macun |
575.74 |
175.84 |
63.59 |
8.61 |
823.78 |
Jiefang |
75.87 |
45.05 |
76.02 |
30.83 |
227.77 |
Zhongzhan |
128.95 |
40.12 |
49.33 |
2.06 |
220.46 |
SUM |
23076.36 |
5205.05 |
4283.5 |
1357.42 |
33922.33 |
基于卫星的建筑损毁评估在2025年缅甸地震中的应用
Satellite-Based Building Damage Assessment: Application to the 2025 Myanmar Earthquake
