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Assessment of rice fields by GIS／GPS-supported classification of MODIS data

Journal of Zhejiang University Science 2004年第4期5卷 412-417页

作者：程乾黄敬峰王人潮 instituteofagriculturalremotesensing＆informationapplication ZhejiangUniversityHangzhou310029China

The new Moderate-Resolution Imaging Spectroradiometer (MODIS) satellite image offers a large choice of opportunities for operational applications. The 1-km Advanced Very High Resolution Radiometer (AVHRR) image is not suitable for retrieval of field level parameter and Landsat data are not frequent enough for monitoring changes in crop parameters during the critical crop growth periods.A methodology to map areas of paddy fields using MODIS,geographic information system (GIS) and global position system (GPS) is introduced in this paper. Training samples are selected and located with the help of GPS to provide maximal accuracy.A concept of assessing areas of potential cultivation of rice is suggested by means of GIS integration. By integration of MODIS with GIS and GPS technologies the actual areas of rice fields in 2002 have been mapped. The classification accuracy was 95.7% percent compared with the statistical data of the Agricultural Bureau of Zhejiang Province.

关键词： Areas of rice fields Moderate-Resolution Imaging Spectroradiometer (MODIS) Geographic information system (GIS) Global position system (GPS)

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In situ hyperspectral data analysis for pigment content estimation of rice leaves

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Journal of Zhejiang University Science 2003年第6期4卷 727-733页

作者：程乾黄敬峰王秀珍王人潮 instituteofagriculturalremotesensing＆informationapplication ZhejiangUniversityHangzhou310029China

Analyses of the correlation between hyperspectral reflectance and pigment content including chlorophyll a, chlorophyll b and carotenoid of leaves in different sites of rice were reported in this paper. The hyperspectral reflectance of late rice during the whole growing season was measured using a Spectroradiometer with spectral range of 350-1050 nm and resolution of 3 nm. The chlorophyll a, chlorophyll b and carotenoid contents in rice leaves in rice fields to which different levels of nitrogen were applied were measured. The chlorophyll a content of upper leaves was well correlated with the spectral variables. However, the correlation between both chlorophyll b and caroteniod and the spectral variables was far from that of chlorophyll a. The potential of hyperspectral reflectance measurement for estimating chlorophyll a of upper leaves was evaluated using univariate correlation and multivariate regression analysis methods with different types of predictors. This study showed that the most suitable estimated model of chlorophyll a of upper leaves was obtained by using some hyperspectral variables such as SD r, SD b and their integration.

关键词： Pigment contents Hyperspectral reflectance Rice leaves Correlation

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Rice yield estimation using remote sensing and simulation model

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Journal of Zhejiang University Science 2002年第4期3卷 461-466页

作者：黄敬峰唐蜀川 OttsamaAbou-Ismail 王人潮 instituteofagriculturalremotesensing&InformationAppliz~ion ZhejiangUniversityHangzhou310029China theNationalRemoteSensingCentreofSyria Syria

Remote sensing techniques have the potential to provide information on agricultural crops quantitatively , instantaneously and above all nondestructively over large areas . Crop simulation models describe the relationship between physiological processes in plants and environmental growing conditions. The integration between remote sensing data and crop growth simulation model is an important trend for yield estimation and prediction, since remote sensing can provide information on the actual status of the agricultural crop. In this study, a new model(Rice-SRS) was developed based mainly on ORYZA1 model and modified to accept remote sensing data as input from different sources. The model can accept three kinds of NDVI data: NOAA AVHRR(LAC)-NDVI,NOAA AVHRR(GAC)-NDVI and radiometric measurements-NDVI. The integration between NOAA AVHRR (LAC) data and simulation model as applied to Rice-SRS resulted in accurate estimates for rice yield in the Shaoxing area, reduced the estimating error to 1.027%,0.794% and (-0.787%) for early, single, and late season respectively. Utilizing NDVI data derived from NOAA AVHRR (GAC) as input in Rice-SRS can yield good estimation for rice yield with the average error (-7.43%). Testing the new model for radiometric measurements showed that the average estimation error for 10 varieties under early rice conditions was less than 1%.

关键词： Rice Remote sensing NOAA(National Oceanic and Atmospheric Adiministration) AVHRR(Advanced Very High Resolution Radiometer) Simulation model LACC (Local Area coverage) GAC(Global Area Coverage)

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ANALYSIS ON THE SPATIAL DISTRIBUTION VARIATION CHARACTERISTIC OF URBAN HEAT ENVIRONMENTAL QUALITY AND ITS MECHANISM——A Case Study of Hangzhou City

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Chinese Geographical Science 2003年第1期13卷 39-47页

作者： WANGWei-wu ZHULi-zhong WANGRen-chao SHIYong-jung DepartmentofEnvironmentScience ZhejiangUniversityHangzhou310028P.R.CHina InstituteofAgricultureRemoteSensing&informationapplication ZhejiangUniversityHanghzou310029P.R.China ZhejiangForestryCollege Lin‘an311300P.R.China

Urban heat environmental quality (UHEQ) is affected by the interacting of weather condition and underlying surface framework of urban area. In the last two decades, many researchers from domestic and overseas have studied many problems at the aspect of urban heat environment such as urban heat islands, urban air temperature and their relation with urban land cover, city population, air pollution etc. In the recent years, Hangzhou, acting as a center city of Zhejiang Province in China, its urbanization quantum and quantity have both changed greatly, in particular, representing as business affairs building, resident real property and all kinds of specialty market having arisen in built-up zone. Based on Landsat TM images data in 1991 and 1999, urban underlying surface temperature value and Normalized Difference Vegetation Index (NDVI) were calculated using image interpreting and supervised classification technique by remote sensing software ERDAS image 8.4. The relation model between urban underlying surface temperature (UUST) and urban air temperature was setup according to the certain correlation pattern. Reference to the relational standard of assessing human comfort and other meteorology data of Hangzhou City in summer, the spatial distribution characteristic and the spatial variation degree of human comfort of heat environmental quality are estimated and mapped on a middle scale, that is, in six districts of Hangzhou City . Then the paper reveals the main characteristic of spatial variation from 1991 to 1999. Lastly, the change mechanism is analyzed and discussed from the viewpoint of city planning, construction and environmental protection.

关键词： urban heat environmental quality (UHEQ) remote sensing geographicinformation system ( GIS) spatial distribution variation mechanism

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