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潘耀忠，地理學(xué)博士，現(xiàn)北京師范大學(xué)地理學(xué)院教授、博士生導(dǎo)師，教育部新世紀(jì)優(yōu)秀人才，教育部教學(xué)指導(dǎo)委員會(huì)委員（測繪類），國務(wù)院特殊津貼專家，減災(zāi)委專家，國家統(tǒng)計(jì)局統(tǒng)計(jì)遙感專家，中國地理信息產(chǎn)業(yè)協(xié)會(huì)理事。長期從事遙感科學(xué)與技術(shù)在農(nóng)業(yè)、統(tǒng)計(jì)、環(huán)境、災(zāi)害、金融保險(xiǎn)等領(lǐng)域的理論、方法和應(yīng)用研究工作。科技部“地球觀測與導(dǎo)航技術(shù)領(lǐng)域”第一個(gè)“863”重點(diǎn)項(xiàng)目“國家統(tǒng)計(jì)遙感業(yè)務(wù)系統(tǒng)關(guān)鍵技術(shù)研究與應(yīng)用”總體組組長。先后主持了國家863重點(diǎn)項(xiàng)目、國家科技支撐項(xiàng)目、國家發(fā)展與改革委員會(huì)衛(wèi)星產(chǎn)業(yè)化專項(xiàng)、高分重大專項(xiàng)、國家自然科學(xué)基金等30余項(xiàng)國家級項(xiàng)目。出版《糧食作物種植面積統(tǒng)計(jì)遙感測量與估產(chǎn)》等專著5部，發(fā)表論文200余篇（SCI收錄80余篇），發(fā)明專利20余項(xiàng)，軟件著作權(quán)40余項(xiàng)。先后獲北京市科學(xué)技術(shù)獎(jiǎng)一等獎(jiǎng)（排名第一），測繪科技進(jìn)步獎(jiǎng)一等獎(jiǎng)（排名第一），國家統(tǒng)計(jì)局優(yōu)秀成果獎(jiǎng)等多項(xiàng)獎(jiǎng)勵(lì)。

資源環(huán)境定量遙感
遙感應(yīng)用研究：農(nóng)業(yè)、統(tǒng)計(jì)、環(huán)境、災(zāi)害、金融、保險(xiǎn)

1. 國家重點(diǎn)研發(fā)項(xiàng)目，課題負(fù)責(zé)人，地震風(fēng)險(xiǎn)暴露模型研究，2019-2021

2. 國家高分重大專項(xiàng)，課題負(fù)責(zé)人，GF-7衛(wèi)星高精度農(nóng)作物信息提取技術(shù)，2018-2019

3. 國家高分重大專項(xiàng)，課題負(fù)責(zé)人，農(nóng)業(yè)統(tǒng)計(jì)調(diào)查子系統(tǒng)，2013-2017

4. 國家高分重大專項(xiàng)，課題負(fù)責(zé)人，災(zāi)害監(jiān)測與評估信息服務(wù)應(yīng)用示范應(yīng)用，2013-2017

5. 國家發(fā)改委衛(wèi)星發(fā)展專項(xiàng)，項(xiàng)目負(fù)責(zé)人，基于國產(chǎn)衛(wèi)星的農(nóng)業(yè)保險(xiǎn)精確承保與快速理賠綜合服務(wù)平臺(tái)與應(yīng)用示范，2013-2015

6. 國家發(fā)改委衛(wèi)星發(fā)展專項(xiàng)，項(xiàng)目負(fù)責(zé)人，基于自主衛(wèi)星的農(nóng)業(yè)統(tǒng)計(jì)快速調(diào)查綜合服務(wù)平臺(tái)，2012-2014

7. 國家支撐計(jì)劃項(xiàng)目，課題負(fù)責(zé)人，災(zāi)情綜合研判與風(fēng)險(xiǎn)分析技術(shù)研究，2008-2011

8. 863重點(diǎn)項(xiàng)目，項(xiàng)目負(fù)責(zé)人，國家統(tǒng)計(jì)遙感關(guān)鍵技術(shù)與應(yīng)用，2006-2011

9. 863重點(diǎn)項(xiàng)目，課題負(fù)責(zé)人，國家主產(chǎn)區(qū)種植面積遙感測量與估產(chǎn)業(yè)務(wù)系統(tǒng)，2006-2011

10. 北京生態(tài)環(huán)境遙感年度監(jiān)測項(xiàng)目，項(xiàng)目負(fù)責(zé)人，北京市統(tǒng)計(jì)局，2009-2025

11. 平安產(chǎn)險(xiǎn)GIS建設(shè)項(xiàng)目，項(xiàng)目負(fù)責(zé)人，中國平安財(cái)產(chǎn)保險(xiǎn)股份有限公司，2014-2016

1、中國糧食作物種植面積統(tǒng)計(jì)遙感測量業(yè)務(wù)系統(tǒng)，2015，測繪科技進(jìn)步獎(jiǎng)一等獎(jiǎng)（排名第一）

2、主要農(nóng)作物面積多維多尺度立體統(tǒng)計(jì)遙感調(diào)查技術(shù)創(chuàng)新與應(yīng)用，2018，北京市科學(xué)技術(shù)獎(jiǎng)一等獎(jiǎng)（排名第一）

3、自然災(zāi)害遙感動(dòng)態(tài)監(jiān)測與評估關(guān)鍵技術(shù)研究與應(yīng)用，2017，測繪科技進(jìn)步獎(jiǎng)一等獎(jiǎng)（排名第四）

1. A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution.        Remote Sensing of Environment. September 2020. 247:111912        SCI(TOP)        2通訊
2. Comparison of Remote Sensing Time-Series Smoothing Methods for Grassland Spring Phenology Extraction on the Qinghai–Tibetan Plateau.        Remote Sensing. October 2020. 12(20):3383        SCI(Q2)        3通訊
3. Hargreaves ET0 equation regression correction and parameter spatialization for mainland China.        Applied Engineering in Agriculture, January, 2020, 36(5): 673-686        SCI(Q4)        2通訊
4. A monthly regression correction model for the Hargreaves–Samani method in Mainland China.        Irrigation and Drainage, April， 2020,69(4):880-890.        SCI(Q4)        3通訊
5. Gap-Filling of a MODIS Normalized Difference Snow Index Product Based on the Similar Pixel Selecting.        Remote Sens. March 2020, 12(7), 1077.        SCI(Q2)        4通訊
6. A Cuboid Model for Assessing Surface Soil Moisture.        Remote Sensing, 2019, 11(24), 3034.        SCI(Q2)        2通訊
7. Comparison of upscaling cropland and non-cropland map using uncertainty weighted majority rule-based and the majority rule-based aggregation methods.         Geocarto International, 2019, 34(2), pp.149-163.（Q4）        SCI(Q4)        2通訊
8. Using a simulation analysis to evaluate the impact of crop mapping error on crop area estimation from stratified sampling.
        International Journal of Digital Earth, 2019, 12(9), pp.1046-1066.        SCI(Q4)        3通訊
9. Calibration and Optimization of the ?ngstr?m–Prescott Coefficients for Calculating ET0 within a Year in China: The Best Corrected Data Time Scale and Optimization Parameters.        Water, 2019,11(8), 1706.        SCI(Q3)        3通訊
10. Drought evolution and its impact on the crop yield in the North China Plain. Journal of Hydrology, 564, 984–996.        Journal of Hydrology, 2018, 64, 984–996.        SCI(TOP)        2
11. Drought evaluation using the GRACE terrestrial water storage deficit over the Yangtze River Basin, China.        Science of the Total Environment. 2018, 634: 727-738.        SCI(TOP)        3通訊
12. Thermal growing season and response of alpine grassland to climate variability across the Three-Rivers Headwater Region, China.        Agricultural & Forest Meteorology, 2016, 220(220):30-37.        SCI(TOP)        3通訊
13. Greening of the Earth and its drivers.        Nature Climate Change. 2016;6(8):791-795.        （ESI高被引，熱點(diǎn)論文） 750次        學(xué)生第一；共同作者
14. Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011.         Remote Sens. 2013, 5, 927-948.        SCI(Q2，ESI高被引)，558次        3
15. Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982-2006.        Global Ecology and Biogeography, 2012, 21(2):260-271.        SCI(TOP，ESI高被引)        4
16. A Changing-Weight Filter Method for Reconstructing a High-Quality NDVI Time Series to Preserve the Integrity of Vegetation Phenology.        IEEE Transactions on Geoscience and Remote Sensing, 2012,50(4):1085-1094.        SCI(TOP)        2通訊
17. Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index.        Remote Sensing of Environment, 2012,119:232-242.        SCI(TOP)        1
18. Mapping Cropland Distributions Using a Hardand Soft Classification Model.        IEEE Transactions On Geoscience And Remote Sensing, 2012,50,4301-4312.        SCI(TOP)        1