کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10114080 | 1621382 | 2005 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands
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کلمات کلیدی
NIREWTSMEX02AVIRISSWIRVWCpsf - PSFModerate Resolution Imaging Spectroradiometer - Spectroradiometer تصویربرداری با وضوح تصویر متوسطVIs - VI هاQuality assessment - ارزیابی کیفیDOY - انجام دهیدMODIS - تابشسنج طیفی تصویربرداری با وضوح متوسط یا MODIS Point spread function - تابع گسترش نقطهday of year - روز سالNormalized Difference Water Index - شاخص تناوب عادیnormalized difference vegetation index - شاخص تنوع گیاه شناسی نرمال شدهLeaf area index - شاخص سطح برگNDVI - شاخص نرمالشده تفاوت پوشش گیاهی Vegetation index - شاخص گیاهیLAI - شبیهEquivalent water thickness - ضخامت آب معادلVisible - قابل رویتLandsat - لندستVegetation water content - محتوای آب گیاهیShort-wave infrared - موج کوتاه مادون قرمزNear-infrared - نزدیک مادون قرمزNDWI - کلمه
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The estimation of vegetation water content (VWC) over a crop-growing period was performed using the near-infrared (NIR) and short-wave infrared (SWIR) bands of the Terra-MODerate Resolution Imaging Spectroradiometer (Terra-MODIS). The study was conducted in Iowa, USA as part of the Soil Moisture Experiments 2002 (SMEX02). Due to the moderate resolution of MODIS data, the removal of mixed pixels was important in order to meet accuracy estimation requirements of potential applications. MODIS-derived reflectance for the NIR and SWIR bands over corn and soybeans fields was validated using atmospherically corrected Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper (ETM) data. All possible combinations of the 7 MODIS bands were used to construct VIs. The performance of each combination was evaluated by computing their correlations with corn VWC. The Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI) were found to be the best candidates. In this study, it was observed that the MODIS SWIR-based VI for corn saturated at a later date than NDVI. A similar late saturation was observed for soybeans with a lag of about 10 days. Linear relationships between the SWIR-based VI and VWC were developed using the MODIS data and ground measured VWC. MODIS-derived Normalized Difference Water Indices (NDWI) using SWIR (1640 nm) or SWIR (2130 nm), namely NDWI1640 or NDWI2130, all showed potential in estimating VWC. Additional testing of this approach could result in a robust technique for estimating VWC for specific crops.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing of Environment - Volume 98, Issues 2â3, 15 October 2005, Pages 225-236
Journal: Remote Sensing of Environment - Volume 98, Issues 2â3, 15 October 2005, Pages 225-236
نویسندگان
Daoyi Chen, Jingfeng Huang, Thomas J. Jackson,