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Calculating soil moisture by remote sensing and analyzing hydrologic cycle process in the Yellow River basin

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Science China(Technological Sciences) 2004年第z1期47卷 1-13页

作者： YANG Shengtian1 & LIU Changming1, 2 1. School of Environmental Sciences, Beijing Normal University, Beijing 100875, China 2. Institute of Geographic Science and Natural Resources Research, Beijing 100101, China School of Environmental Sciences Beijing Normal University Institute of Geographic Science and Natural Resources Research

Based on the AVHRR pathfinder remote sensing data, soil moisture, precipitation and evaporation during the period of 1982—1998, soil moisture of all layers of soil-profile (0—1 m) in the Yellow River basin over the 17 years are calculated by the remote sensing model of calculating soil water. The Yellow River basin is divided into seven subcatchments as control sections at the location of six hydrologic stations (Lanzhou, Toudaoguai, Longmen, Sanmenxia, Huayuankou and Lijin). After calculating soil moisture and obtaining runoff data and precipitation data, the dynamical features of hydrological cycle in the Yellow River basin are analyzed for the period from 1982 to 1988 using water balance method. The conclusions are as follows: It is feasible to calculate the soil water on the macro-scale, in the soil profile with temporal continuity by means of remote sensing and survey in land. Some values of the key water cycle factors in the Yellow River are obtained, which include the annual precipitation of 4000 km3, the evapotranspiration of 3000-3500 km3, and the soil moisture transformation of ?500- 500 km3. Consequently, we analyzed the process of the water cycle in the Yellow River over the 17 years, and the results show that the segment upstream of Lanzhou city is a relatively humid region, and the area of internal waters and the reaches of Shanshan is the most desiccated region. Therefore, the runoff in the depth process is intensive and the runoff-generating process is weak in more arid regions.

关键词： the Yellow River, soil moisture, remote sensing, hydrologic cycle.

Study on thermal infrared remote sensing of Yarlung Zangbo River and Bangong Co-Nujiang River suture belt in Qinghai-Tibet Plateau

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Science China(Technological Sciences) 2006年第Z2期49卷 108-113页

作者： BI Siwen, YAN Hao & WANG Changyao State Key Laboratory of Remote sensing Sciences, Institute of Remote sensing Application, Chinese Academy of Sciences, Beijing 100101, China Key Laboratory of Three-Dimensional Information Acquisition and Application, Ministry of Education, Capital Normal University, Beijing 100037, China Chinese Acad Sci Inst Remote Sensing Applicat State Key Lab Remote Sensing Sci Beijing 100101 Peoples R China Capital Normal Univ Minist Educ Key Lab Dimens Informat Acquisit & Applicat Beijing 100037 Peoples R China

The area change of heat abnormity is not in accordance with conclusions of former thermal infrared remote sensing studies of the Qinghai-Tibet Plateau, which were that the temperature of Yarlung Zangbo River suture belt of the southern Plateau is high and the northern temperature is low. The study result in this paper shows that the highest temperature is found in the Bangong Co-Nujiang River suture belt, the Yarlung Zangbo River suture belt temperature is the second highest, and the northern Tibet temperature is the lowest. The study demonstration area was the suture belt areas of the Yarlung Zangbo River and the Bangong Co-Nujiang River in the Qinghai-Tibet Plateau, where the land temperature of the Qinghai-Tibet Plateau and the bore temperature of field land surface were measured and the emissivity of land surface was calculated. In addition, the authors explore the mechanism of the relationship between thermal infrared remote sensing and constructing thermodynamics and reach four new conclusions about the thermodynamics of the Tibet Plateau.

关键词： Qinghai-Tibet Plateau, Yarlung Zangbo River-Bangong Co-Nujiang River, suture belt, thermal infrared remote sensing, heat abnormity.

Monitoring on soil erosion and sediment delivery at a typical basin of the middle and lower reaches of the Jialing River by remote sensing

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中国科学：技术科学英文版 2003年第Z1期46卷 148-155页

作者： FAN Jianrong, ZHONG Xianghao & LIU Shuzhen Institute of Mountain Hazards and Environment, Chinese Academy of Sciences and Ministry of Water Resources, Chengdu 610041, China Chinese Acad Sci Inst Mt Hazards & Environm Chengdu 610041 Peoples R China Minist Water Resources Chengdu 610041 Peoples R China

The monitoring work was performed on soil erosion in Lizixi drainage area respectively in 1986 and 1999 by multiple methods with the information extracted from the Landsat TM imagery and Spot imagery. The variation of erosion quantity in this area is calculated based on the monitoring result of the erosion intensity and area in these two years. The change of sediment delivery is also analyzed. The research result shows that compared to 1986, in 1999, the erosion area reduced, especially for the area of moderate intensity and above, and the intensity and quantity of erosion decreased. Compared to this period from 1965 to 1986, the sediment delivery ratio has been changed from 0.27 to 0.11 after 1986. The research result could help the decision-making for further water and soil conversation work in Lizixi drainage area, and it also offers reference for monitoring,evaluating and predicting soil erosion in other drainage areas.

关键词： drainage area, soil erosion, remote sensing, sediment delivery.

Study on spectral structure of quantum remote sensing

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Science China(Technological Sciences) 2006年第Z2期49卷 64-69页

作者： BI Siwen HAN Jixia Key Laboratory of Remote sensing Information Sciences Institute of Remote Sensing Application Chinese Academy of Science Beijing 100101 China Key Laboratory of Remote Sensing Information Sciences Institute of Remote Sensing Application Chinese Academy of Science Beijing 100101 China

A study of the use of fine spectral structure in quantum remote sensing, including an expression, begins with a summary of present-day applications of spectrum remote sensing, which is followed by a theoretical discussion of the influence of electronic spin upon hydrogen-like atom energy levels and the calculation of spectral line in the absence of a circumstance field.

关键词： quantum remote sensing, spectrum, fine structure.

An experiment using mid and thermal infrared in quantum remote sensing

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Science China(Technological Sciences) 2006年第Z2期49卷 1-10页

作者： BI Siwen HAN Jixia Key Laboratory of Remote sensing Information Sciences Institute of Remote Sensing Application Chinese Academy of Sciences Beijing 100101 China Key Laboratory of Remote Sensing Information Sciences Institute of Remote Sensing Application Chinese Academy of Sciences Beijing 100101 China

The concept of quantum remote sensing and the differences between quantum remote sensing and remote sensing is introduced, an experiment about the uses of mid and thermal infrared in quantum remote sensing is describe... 详细信息

关键词： quantum remote sensing, mid and thermal infrared, spectrum fine structure, experiment.

Advances on Technology and Application of Ocean Color Remote sensing in China (2004 - 2006)

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空间科学学报 2006年第Z1期26卷 46-55页

作者： PAN Delu BAI Yan State Key Laboratory of Satellite Ocean Environment Dynamic Second Institute of Oceanography State Oceanic Administration Hangzhou 310012 China State Key Laboratory of Satellite Ocean Environment Dynamic Second Institute of Oceanography State Oceanic Administration Hangzhou 310012 China Shanghai Institute of Technical Physics Chinese Academy of Sciences

China has great progress in the technology and application of ocean color remote sensing during 2004-2006. In this report, firstly, four major technical advances are displaying, including (1) the vector radiative transfer numerical model of coupled ocean-atmosphere system; (2) the atmospheric correction algorithm specialized on Chinese high turbid water; (3) systematical research of hyper-spectrum ocean color remote sensing; (4) local algorithms of oceanic parameters, like ocean color components, ocean primary productivity, water transparency, water quality parameters, etc. On the foundation of technical advances, ocean color remote sensing takes effect on ocean environment monitoring, with four major kinds of application systems, namely, (1) the automatic multi-satellites data receiving, processing and application system; (2) the shipboard satellite data receiving and processing system for fishery ground information; (3) Coastal water quality monitoring system, integrating satellite and airborne remote sensing technology and ship measurement; (4) the preliminary system of airborne ocean color remote sensing application system. Finally, the prospective development of Chinese ocean color remote sensing is brought forward. With Chinese second ocean color satellite (HY-1B) orbiting, great strides will take place in Chinese ocean color information accumulation and application.

关键词： Ocean color, Remote sensing, Application system, Chinese ocean color satellite, HY-1

Technology Progress Report for Microwave Remote sensing

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空间科学学报 2004年第Z1期24卷 134-137页

作者： JIANG Jingshan DONG Xiaolong LIU Heguang Center for Space Science and Applied Research The Chinese Academy of Sciences Beijing 100080 China Center for Space Science and Applied Research The Chinese Academy of Sciences Beijing 100080 China Center for Space Science and Applied Research The Chinese Academy of Sciences Beijing 100080 China

In this presentation, technological progress for China's microwave remote sensing is introduced. New developments of the microwave remote sensing instruments for China's lunar exploration satellite (Chang'E-1), meteor... 详细信息

关键词： Microwave remote sensing, Satellite, Lunar exploration

Determination of regional distribution of crop transpiration and soil water use efficiency using quantitative remote sensing data through inversion

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Science China Earth Sciences 2003年第1期46卷 10-22页

作者：张仁华孙晓敏刘纪远苏红波唐新斋朱治林 Institute of Geographical Sciences and Natural Resources Chinese Academy of Sciences

A two-layer model used to get the estimated values of crop transpiration by inversion using remote sensing data, which has been proved effective at some agricultural-ecological sta-tions, is first discussed. An important part of it is the temperature separation model (in which thesurface temperature in a mixed pixel is separated into soil surface temperature and crop canopysurface temperature) on the basis of bi-temporal radiometric temperature in a mixed pixel and its thermal inertia. To improve the inversion, the authors put forward some new algorithms, including an algorithm for the estimation of regional emissivities, a static feedback algorithm using surfacetemperature for the extension of air temperature at ecological stations to the region surroundingthem and a spatial extension algorithm for calculating the wind speed 2 m above the ground withsurface roughness and radiometric temperature. Finally, regional distributions of crop transpiration (CT) and soil water use efficiency (SWUE) in North China were calculated pixel by pixel usingNOAA-AVHRR data and surface measurements and calibrations. The results provide a way toassess the effects of various agricultural practices on SWUE by using remote sensing data inNorth China in spring.

关键词： quantitative remote sensing, crop transpiration, soil water use efficiency (SWUE).

Genetic inverse algorithm for retrieval of component temperature of mixed pixel by multi-angle thermal infrared remote sensing data

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Science China Earth Sciences 2001年第4期44卷 363-372页

作者：徐希孺陈良富庄家礼 LARSIS Institute of Remote Sensing Applications Chinese Academy of Sciences Beijing 100101 China

After carefully studying the results of retrieval of land surface temperature(LST) by multi-channel thermal infrared remote sensing data, the authors of this paper point out that its accuracy and significance for applications are seriously damaged by the high correlation coefficient among multi-channel information and its disablement of direct retrieval of component temperature. Based on the model of directional radiation of non-isothermal mixed pixel, the authors point out that multi-angle thermal infrared remote sensing can offer the possibility to directly retrieve component temperature, but it is also a multi-parameter synchronous inverse problem. The results of digital simulation and field experiments show that the genetic inverse algorithm (GIA) is an effective method to fulfill multi-parameter synchronous retrieval. So it is possible to realize retrieval of component temperature with error less than 1K by multi-angle thermal infrared remote sensing data and GIA.

关键词： multi-angle thermal infrared remote sensing, component temperature of mixed pixel, genetic inverse algorithm.