Precision Evaluation of Drought Index based on CCI Soil Moisture Products and Its Effect on Grain Yield in Northeast China

Lei Li; Xingming Zheng; Kai Zhao; Xiaofeng Li; Guangrui Wang

doi:10.11873/j.issn.1004-0323.2020.1.0111

Abstract

Abstract:

Soil moisture is the basic factor for monitoring crop drought. Based on the microwave remote sensing soil moisture products of ESA from 1978 to 2014, the statistical database of China's economic and social development and meteorological data, combined with the Soil Moisture Deficit Index (SWDI), the relationship between the degree of drought in Northeast China and corn yield was analyzed. The results show that: (1) the drought level of the three provinces is increasing from northeast to southwest; (2) the SWDI drought index calculated based on CCI (Climate Change Initiative) soil moisture products has a good correlation with rainfall and temperature, which can be used to evaluate the severity of drought; (3) the correlation between SWDI and maize yield is the best in the key water demand period (July), and R2 of Heilongjiang, Jilin and Liaoning provinces are 0.43, 0.78 and 0.38 respectively, which is very suitable for quantifying the effect of drought on maize yield. This conclusion has important guiding significance for the study of the influence of soil moisture content on crop yield and the relevant agricultural decision-making.

Key words: Microwave remote sensing, Soil moisture, Drought index, Corn yield, Northeast China

鎽樿锛�

鍦熷￥姘村垎鏄洃娴嬩綔鐗╂棻鎯呯殑鍩烘湰鍥犲瓙锛屼互娆х┖灞�1978~2014骞村井娉㈤仴鎰熷湡澹ゆ按鍒嗕骇鍝併�佷腑鍥界粡娴庝笌绀句細鍙戝睍缁熻鏁版嵁搴撲互鍙婃皵璞℃暟鎹负鍩虹锛岀粨鍚堝湡澹ゆ按鍒嗕簭缂烘寚鏁帮紙Soil Water Deficit Index, SWDI锛夊垎鏋愪笢鍖楀湴鍖虹殑骞叉棻绋嬪害涓庣帀绫充憨浜х殑鍏崇郴銆傜粨鏋滆〃鏄庯細鈶犱笢鍖椾笁鐪佸共鏃辩▼搴︾┖闂翠笂鍛堢幇鑷笢鍖楀悜瑗垮崡閫愭笎鍔犻噸鐨勭┖闂村垎甯冩ā寮忥紱鈶″熀浜嶤CI (Climate Change Initiative)鍦熷￥姘村垎浜у搧璁＄畻鐨凷WDI骞叉棻鎸囨暟涓庨檷闆ㄩ噺鍜屾皵娓╂湁鑹ソ鐨勭浉鍏冲叧绯伙紝鍙敤浜庤瘎浼板共鏃卞彂鐢熺殑涓ラ噸绋嬪害锛涒憿鐜夌背鐢熼暱瀛ｅ叧閿渶姘存湡鈥斺��7鏈堢殑SWDI涓庣帀绫充骇閲忕殑鐩稿叧鎬ф渶濂斤紝浜岃�呭湪榛戦緳姹熴�佸悏鏋楀拰杈藉畞鐪佺殑R2鍒嗗埆涓�0.43銆�0.78鍜�0.38锛岄潪甯搁�傚悎鐢ㄤ簬璇勪及骞叉棻瀵圭帀绫冲崟浜х殑褰卞搷銆傝缁撹瀵逛簬鐮旂┒澶ц寖鍥村湡澹ゆ按鍒嗗惈閲忓鍐滀綔鐗╀骇閲忕殑褰卞搷浠ュ強鐩稿叧鍐滀笟鍐崇瓥鍏锋湁閲嶈鎸囧鎰忎箟銆�

鍏抽敭璇�: 寰尝閬ユ劅, 鍦熷￥姘村垎, 骞叉棻鎸囨暟, 鐜夌背浜ч噺, 涓滃寳鍦板尯

CLC Number:

TP79

Lei Li,Xingming Zheng,Kai Zhao,Xiaofeng Li,Guangrui Wang. Precision Evaluation of Drought Index based on CCI Soil Moisture Products and Its Effect on Grain Yield in Northeast China[J]. Remote Sensing Technology and Application, 2020, 35(1): 111-119.

鏉庨浄,閮戝叴鏄�,璧靛嚡,鏉庢檽宄�,鐜嬪箍钑�. 鍩轰簬CCI鍦熷￥姘村垎浜у搧鐨勫共鏃辨寚鏁扮簿搴﹁瘎浠峰強鍏跺涓滃寳鍦板尯绮浜ч噺鐨勫奖鍝峓J]. 閬ユ劅鎶�鏈笌搴旂敤, 2020, 35(1): 111-119.

References

1	Wilhite D A , Glantz M H .Understanding the Drought Phenomenon: the Role of Definitions [J].Water International锛�1985,10(1):111-120.
2	Narasimhan B , Srinivasan R .Development and Evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for Agricultural Drought Monitoring [J].Agricultural and Forest Meteorology,2005,133(1):69-88.
3	Su Z , Yacob A , Wen J ,et al .Assessing Relative Soil Moisture with Remote Sensing Data: Theory, Experimental Validation, and Application to Drought Monitoring over the North China Plain[J].Physics and Chemistry of the Earth,2003,28(1-3):89-101.
4	Wu J , Zhou L , Liu M .Establishing and Assessing the Integrated Surface Drought Index (ISDI) for Agricultural Drought Monitoring in Mid-Eastern China[J].International Journal of Applied Earth Observation and Geoinformation,2013,23(1):397-410.
5	Champagne C , McNairn H , Berg A A .Monitoring Agricultural Soil Moisture Extremes in Canada Using Passive Microwave Remote Sensing[J].Remote Sensing of Environment,2011,115(10):2434-2444.
6	Liu Zhiming , Zhang Bai , Yan Ming , al el .Some Research Advances and Trends on Soil Moisture and Drought Monitoring by Remote Sensing [J].Advance in Earth Sciences,2003,18(4):576-583.鍒樺織鏄�,寮犳煆,鏅忔槑, 绛� .鍦熷￥姘村垎涓庡共鏃遍仴鎰熺爺绌剁殑杩涘睍涓庤秼鍔縖J].鍦扮悆绉戝杩涘睍,2003,18(4):576-583.
7	Zhang Chao .Study of the Evaluate and Zone Methods on Winter Wheat Drought Risk Based on GIS in Jing-Jin-Ji Region [D].Shijiazhuang:Hebei Normal University,2010.寮犺秴. 鍩轰簬GIS骞叉棻椋庨櫓璇勪及涓庡尯鍒掓柟娉曠爺绌禰D].鐭冲搴�: 娌冲寳甯堣寖澶у,2010.
8	Escorihuela M J , Quintana-Segu铆 P .Comparison of Remote Sensing and Simulated Soil Moisture Datasets in Mediterranean Landscapes [J].Remote Sensing of Environment,2016.180(1):99-114.
9	Al-Yaari A , Wigneron J P , Kerr Y .Testing Regression Equations to Derive Long-term Global Soil Moisture Datasets from Passive Microwave Observations [J].Remote Sensing of Environment,2016,180(1):453-464.
10	Gao Xiaorong , Wang Chunyi , Zhang Jiquan ,et al .Crop Water Requirement and Temporal-spatial Variation of Drought and Flood Disaster During Growth Stages for Maize in Northeast During Past 50 Years [J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(12):101-109.楂樻檽瀹�,鐜嬫槬涔�,寮犵户鏉�, 绛� .杩�50骞翠笢鍖楃帀绫崇敓鑲查樁娈甸渶姘撮噺鍙婃棻娑濇椂绌哄彉鍖朳J].鍐滀笟宸ョ▼瀛︽姤,2012,28(12):101-109.
11	Zhao Xianli , Zhang Yushu , Ji Ruipeng ,et al .Characteristics of Temporal and Spatial Distribution of Main Agricultural Disasters in Liaoning Provinces [J].Agricultural Research in the Arid Areas,2013,31(5):130-135, 256.璧靛厛涓�,寮犵帀涔�,绾憺楣�, 绛� .杈藉畞涓昏鍐滀笟鐏惧鏃剁┖鍒嗗竷鐗瑰緛[J].骞叉棻鍦板尯鍐滀笟鐮旂┒,2013,31(5):130-135, 256.
12	Li Lei .Research on Water Suitability of Maize Planting Range in Northeast China [D].Changchun:Jilin University,2018.鏉庨浄. 涓滃寳鍦板尯鐜夌背绉嶆鑼冨洿鐨勬按鍒嗛�傚疁鎬х爺绌禰D].闀挎槬: 鍚夋灄澶у,2018.
13	Yang Xiaojing , Xu Zongxue , Zuo Depeng ,et al .Spatio-Temporal Evolution Characteristics of Drought - Waterlogging in Three Provinces of Northeast China in Past 55 Years[J].Journal of Natural Disasters,2016,25(4):9-11.鏉ㄦ檽闈�, 寰愬畻瀛�, 宸﹀痉楣�, 绛�, 涓滃寳涓夌渷杩�55a鏃辨稘鏃剁┖婕斿彉鐗瑰緛[J].鑷劧鐏惧瀛︽姤,2016,25(4):9-11.
14	Yang Ruozi .Spatial-temporal Characteristics and Comprehensive Risk Assessment of Main Agro-meteorological Hazards for Maize in Northeast China[D].Beijing:Chinese Academy of Meteorological Sciences,2015.鏉ㄨ嫢瀛�. 涓滃寳鐜夌背涓昏鍐滀笟姘旇薄鐏惧鐨勬椂绌虹壒寰佷笌椋庨櫓缁煎悎璇勪及[D].鍖椾含: 涓浗姘旇薄绉戝鐮旂┒闄�,2015.
15	Fu Lin .Agricultural Climate Yields Assessment Research in Three Provinces of Northeast China[D].Beijing:Chinese Academy of Meteorological Sciences,2011.绗︾惓. 涓滃寳涓夌渷鍐滀笟姘斿�欏勾鏅瘎浼扮爺绌禰D].鍖椾含:涓浗姘旇薄绉戝鐮旂┒闄�,2011.
16	Zheng Xingming , Zhao Kai , Li Xiaofeng ,et al .Moisture Derived from Microwave Remote Sensing in Northeast China[J].Scientia Geographica Sinica,2015,35(3):334-339.閮戝叴鏄�,璧靛嚡,鏉庢檽宄�, 绛� .鍒╃敤寰尝閬ユ劅鍦熷￥姘村垎浜у搧鐩戞祴涓滃寳鍦板尯鏄ユ稘鑼冨洿鍜岀▼搴J].鍦扮悊绉戝,2015,35(3):334-339.
17	Liu Zhijuan , Yang Xiaoguang , Wang Wenfeng ,et al .Characteristics of Agricultural Climate Resources in Three Provinces of Northeast China Under Global Climate Change[J].Chinese Journal of Applied Ecology,2009,20(9):2199-2206.鍒樺織濞�,鏉ㄦ檽鍏�,鐜嬫枃宄�, 绛� .姘斿�欏彉鍖栬儗鏅笅鎴戝浗涓滃寳涓夌渷鍐滀笟姘斿�欒祫婧愬彉鍖栫壒寰乕J].搴旂敤鐢熸�佸鎶�,2009,20(9):2199-2206.
18	Liu Y Y , Dorigo W A , Parinussa R M .Trend-preserving Blending of Passive and Active Microwave Soil Moisture Retrievals[J].Remote Sensing of Environment,2012,123(1):280-297.
19	Liu Y Y , Parinussa R M , Dorigo W A .Developing an Improved Soil Moisture Dataset by Blending Passive and Active Microwave Satellite based Retrievals[J].Hydrology and Earth System Sciences,2011,15(1):425-436.
20	Wagner W , Dorigo W , de Jeu R .Fusion of Active and Passive Microwave Observations to Create an Essential Climate Variable Data Record on Soil Moisture[J].ISPRS Annals of the Photogrammetry,Remote Sensing and Spatial Information Sciences,2012,1(7):315-321.
21	Shi X Z , Yu D S , Warner E D ,et al .Soil Database of 1鈭�1 000 000 Digital Soil Survey and Reference System of the Chinese Genetic Soil Classification System[J].Soil Survey Horizons,2004,45(1):129-136.
22	Shi X Z , Yu D S , Warner E D ,et al .Cross Reference System for Translating between Genetic Soil Classification of China and Soil Taxonomy[J].Soil Science Society of America Journal,2006,70(1):78-83.
23	Mart铆nez-Fern谩ndez J , Gonz谩lez-Zamora A , S谩nchez N .Satellite Soil Moisture for Agricultural Drought Monitoring锛欰ssessment of the SMOS Derived Soil Water Deficit Index[J].Remote Sensing of Environment,2016,177(1):277-286.
24	Yan Nana .The Method of Drought Monitoring by Remote Sensing[D].Beijing:Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,2005.闂濞�. 鍩轰簬閬ユ劅鎸囨暟鐨勬棻鎯呯洃娴嬫柟娉曠爺绌禰D].鍖椾含: 涓浗绉戝闄㈢爺绌剁敓闄�(閬ユ劅搴旂敤鐮旂┒鎵�),2005.
25	Allen R G , Pereira L S , Raes D ,et al. Crop Evapotranspiration: Guidelines for Computing Crop Water Requirements[M].FAO,Rome,1998:300.(Irrigation and Drainage Paper 56锛�.
26	Savage M J , Ritchie J T , Bland W L .Lower Limit of Soil Water Availability[J].Agronomy Journal,1996,88(1):644鈥�651.
27	Duan X W , Xie Y , Liu G .Field Capacity in Black Soil Region, Northeast China[J].China Geography Science,2010,20(5):406-413.
28	Saxton K E , Rawls W J .Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions[J].Soil Science Society of America Journal,2006,70(1):1569-1578.
29	Carrao H , Russo S , Sepulcre-Canto G ,et al .An Empirical Standardized Soil Moisture Index for Agricultural Drought Assessment from Remotely Sensed Data[J].International Journal of Applied Earth Observation and Geoinformation,2016,48(1):74-84.
30	McKee T B , Doeskin N J , Kleist J .The Relationship of Drought Frequency and Duration to Time Scales[J].American Meteorological Society,1993,1(1):179鈥�184.
31	Hulme M , Osborn T J , Johns T C .Precipitation Sensitivity to Global Warming: Comparison of Observations with HadCM2 Simulations[J].Geophysical Research Letters,1998,25(17):3379-3382.
32	Lobell D B , Burke M B .Why are Agricultural Impacts of Climate Change so Uncertain? The Importance of Temperature Relative to Precipitation[J].Environmental Research Letters,2008,3(3):1-9.
33	Portoghese I , Vurro M , Lopez A .Assessing the Impacts of Climate Change on Water Resources: Experiences from the Mediterranean Region [M].Germany,Springer International Publishing,2015.
34	Meng Fanchao .Observation and Simulation Study on Maize Growth and Yield Under Climate Change in Northeast China[D].Beijing:Chinese Academy of Meteorological Sciences,2015.瀛熷嚒瓒�. 姘斿�欏彉鍖栧涓滃寳鐜夌背鐢熼暱鍜屼骇閲忓奖鍝嶇殑瑙傛祴涓庢ā鎷焄D].鍖椾含: 涓浗姘旇薄绉戝鐮旂┒闄�,2015.
35	Cheng Yeqing .Spatial Pattern Change and Its Driving Factors of Grain Per Unit Area Yield in Northeast China[J].Journal of Natural Resources,2009,24(9):1541-1549.绋嬪彾闈�.涓滃寳鍦板尯绮鍗曚骇绌洪棿鏍煎眬鍙樺寲鍙婂叾鍔ㄥ洜鍒嗘瀽[J].鑷劧璧勬簮瀛︽姤,2009,24(9):1541-1549.
36	Niyogi D , Liu X , Andresen J ,et al .Crop Models Capture the Impacts of Climate Variability on Corn Yield[J].Geophysical Research Letters,2015,42(1):3356-3363.
37	Yang Xiaochen , Ming Bo , Tao Hongbin ,et al .Spatial Distribution Characteristics and Impact on Spring Maize Yield of Drought in Northeast China[J].Chinese Journal of Eco-Agriculture,2015,23(6):758-767.鏉ㄦ檽鏅�,鏄庡崥,闄舵椽鏂�, 绛� .涓浗涓滃寳鏄ョ帀绫冲尯骞叉棻鏃剁┖鍒嗗竷鐗瑰緛鍙婂叾瀵逛骇閲忕殑褰卞搷[J].涓浗鐢熸�佸啘涓氬鎶�,2015,23(6):758-767.
38	Zhang Shujie , Zhang Yushu , Ji Ruipeng ,et al .Analysis of Spatio-Temporal Characteristics of Drought for Maize in Northeast China[J].Agricultural Research in the Arid Areas,2011,29(1):231-236.寮犳窇鏉�,寮犵帀涔�,绾憺楣�, 绛� .涓滃寳鍦板尯鐜夌背骞叉棻鏃剁┖鐗瑰緛鍒嗘瀽[J].骞叉棻鍦板尯鍐滀笟鐮旂┒,2011,29(1):231-236.
39	Kurum M , Lang R H , O鈥橬eill P E ,et al .L-band Radar Estimation of Forest Attenuation for Active/Passive Soil Moisture Inversion[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(9):3026-3040.
40	Zeng J Y , Li Z , Chen Q ,et al .Evaluation of Remotely Sensed and Reanalysis Soil Moisture Products over the Tibetan Plateau Using In-situ Observations[J].Remote Sensing of Environment,2015,163(15):91-110.
41	Dorigo W A , Gruber A , De Jeu R A M ,et al .Evaluation of the ESA CCI Soil Moisture Product Using Ground-based Observations [J].Remote Sensing of Environment,2015,162(1):380-395.

[1]	Qianyue ZHANG, Jizhen ZHANG, Xinyao HAO, Yue ZHANG. Monitoring Farmland Phenology Changes of Northeast China and Their Response to Climate in Early 21^st Century [J]. Remote Sensing Technology and Application, 2024, 39(2): 350-361.
[2]	Yuke ZHOU, Ruixin ZHANG, Wenbin SUN, Shuhui ZHANG. Spatiotemporal Characteristics of Vegetation Phenology in Northeast China based on Solar-induced Chlorophyll Fluorescence and Response to Climate [J]. Remote Sensing Technology and Application, 2024, 39(1): 185-197.
[3]	Jianwei YANG,Lingmei JIANG,Jinmei PAN. Uncertainty Analysis for Retrieving Snow Water Equivalent based on Passive Microwave Remote Sensing [J]. Remote Sensing Technology and Application, 2023, 38(6): 1274-1284.
[4]	Xingwen LIU,Qiaoling LI,Shuhong SONG. Fusion and Downscaling of Multi-source Remote Sensing Soil Moisture based on 2D Triple-Collocation and Machine Learning Methods [J]. Remote Sensing Technology and Application, 2023, 38(6): 1317-1327.
[5]	Yanhong HANG,Mengning SONG,Jia DU,Huanjun LIU,Linghua MENG,Shuo WANG,Qiong LIU. Remote Sensing Estimation and Influencing Factors of Root Zone Soil Moisture of Typical Cultivated Land in Black Soil Region of Northeast China [J]. Remote Sensing Technology and Application, 2023, 38(6): 1328-1337.
[6]	Qilian YUAN,Lin ZHAO,Zanpin XING,Defu ZOU,Jianting ZHAO,Shibo LIU,Lei FAN. Thawing Period High Resolution Surface Soil Moisture Retrieval over the Permafrost Region along Qinghai-Tibet Engineering Corridor [J]. Remote Sensing Technology and Application, 2023, 38(6): 1350-1363.
[7]	Na Yang,Shaobo Xu,Congkun Lao,Hengjie Zhang,Yanjie Tang. Comparisons between Airborne and Space Borne L-band Microwave Radiometer Observations [J]. Remote Sensing Technology and Application, 2022, 37(6): 1361-1372.
[8]	Na Yang, Yanjie Tang, Ningxin Zhang, Hengjie Zhang, Shaobo Xu. Research on the Characteristics of Soil Moisture in the Qinghai-Tibet Plateau During Monsoon and Vegetation Growing Season based on SMOS and SMAP Data [J]. Remote Sensing Technology and Application, 2022, 37(6): 1373-1384.
[9]	Gaoyan Cao,Na Yang. Research on L-MEB Brightness Temperature Simulation based on Key Auxiliary Parameter Data [J]. Remote Sensing Technology and Application, 2022, 37(6): 1385-1391.
[10]	Jianting Huang,Na Yang,Chao Ma. Study on the Difference Characteristics between SMAP L2 Multi-scale Soil Moisture Data and ISMN Filed Measurement [J]. Remote Sensing Technology and Application, 2022, 37(6): 1392-1403.
[11]	Shaojie Du,Tianjie Zhao,Jiancheng Shi,Chunfeng Ma,Defu Zou,Zhen Wang,Panpan Yao,Zhiqing Peng,Jingyao Zheng. Sentinel-1 and Sentinel-2 Synergistic Retrieval of Surface Soil Moisture [J]. Remote Sensing Technology and Application, 2022, 37(6): 1404-1413.
[12]	Yuling Huang,Kai Liu,Shudong Wang,Dacheng Wang,Feng Yuan,Baolin Wang,Wen Jing,wei Wang. Comparison and Assessment of Remote Sensing and Model-based Soil Moisture Products in Typical Regions of North China [J]. Remote Sensing Technology and Application, 2022, 37(6): 1414-1426.
[13]	Ting Liu,Shaojie Zhao,Diyan Chen,Suhong Liu,Linna Chai. Simulation and Ground Experiment of Microwave Radiation Characteristics on Undulating Surface [J]. Remote Sensing Technology and Application, 2022, 37(6): 1427-1436.
[14]	Xueqin Wang,Xiang Zhang,Nengcheng Chen,Hongliang Ma. Design of Soil Moisture Network based on Temporal and Spatial Variability [J]. Remote Sensing Technology and Application, 2022, 37(6): 1437-1446.
[15]	Xiyao Fang,Lingmei Jiang,Huizhen Cui. Soil Moisture Retrieval in the Tibetan Plateau based on Sentinel-1 Radar Data [J]. Remote Sensing Technology and Application, 2022, 37(6): 1447-1459.