The author is Vivek Sharma, ASABE Member, graduate research Assistant, Department of Biological Systems 1 Engineering, University of Nebraska-Lincoln, Nebraska, USA. Corresponding author: Vivek Sharma, 158. 2 L.W. Chase Hall, University of Nebraska-Lincoln, NE 68583-0726; phone: 402-419-1687; e-mail: 3 [email protected] 4 5 Abstract: Remote sensing-derived surface energy fluxes enable qu...

Monitoring of water clarity trends is necessary for water resource managers. Remote sensing based methods are well suited for monitoring clarity in water bodies such as the inland lakes in Minnesota, United States. This study evaluated the potential of using imagery from NASA’s MODIS sensor to study intra-annual variations in lake clarity. MODIS reflectance images from six dates throughout the ...

10 11 The major problem with high spatial resolution satellite images from Landsat 7 is that 12 imagery is not available very often (i.e. every 16 days or longer) and the coverage area is 13 relatively small (swath width 185km), while images of lower spatial resolution from MODIS are 14 available daily and one image covers a relatively large area (swath width 2,330km). This paper 15 considers t...

Moderate Resolution Imaging Spectroradiometer (MODIS) has a potential for more detailed daily monitoring of land covers and their change than ever because two bands, red and near-infrared bands, have 250m spatial resolutions. On the other hand, the use of MODIS data requires attention to Bidirectional Reflectance Distribution Function (BRDF) effect, which is one of the most important factors to...

Biomass can indicate plant growth status, so it is an important index for plant growth monitoring. This paper focused on the methodology of estimating the winter wheat biomass based on hyperspectral field data, including the LANDSAT TM and EOS MODIS images. In order to develop the method of retrieving the wheat biomass from remote sensed data, routine field measurements were initiated during pe...

Time series of images are required to extract and separate information on vegetation change due to phenological cycles, inter-annual climatic variability, and long-term trends. While images from the Landsat Thematic Mapper (TM) sensor have the spatial and spectral characteristics suited for mapping a range of vegetation structural and compositional properties, its 16-day revisit period combined...

The leaf area index (LAI) is a crucial parameter of vegetation structure. It provides key information for earth surface process simulations and climate change research on the global and regional scales. Focusing on the meadow steppe in Hulunber, Inner Mongolia, China, the present study assessed the accuracy of the Moderate Resolution Imaging Spectroradiometer (MODIS) LAI product in the study ar...

The most recent Visible Infrared Imager Radiometer Suite (VIIRS) is not equipped with a spectral band to detect solar-stimulated phytoplankton fluorescence. The lack of such a band may affect the ability of VIIRS to detect and quantify harmful algal blooms (HABs) in coastal waters rich in colored dissolved organic matter (CDOM) because of the overlap of CDOM and chlorophyll absorption within th...

In this study, a parameterization method based on MODIS (Moderate Resolution Imaging Spectroradiometer) data, AVHRR (Advanced Very High-Resolution Radiometer) data and in situ data is introduced and tested for estimating the regional evaporative fraction 3 over a heterogeneous landscape. As a case study, the algorithm was applied to the Tibetan Plateau (TP) area. Eight MODIS data images (17 Jan...

The paper proposes a crop identification method based on the algorithm for calculating estimates using satellites images. The classification features are the set of time series values, built by the sequence of satellite images, and geographic coordinate of field – latitude. Method was tested by using Terra/MODIS images and ground-based information. The comparison of the classification quality o...