ABSTRACT: The MODIS images have been useful for a wide range of land, ocean and atmosphere phenomena. However, 1km resolution would not be enough to detect land changes for small areas comprised of various land cover types. For this study, wavelet-based fusion and adaptive regression model were applied for improvement MODIS five 500m bands, and outputs are compared by some evaluation indicators...

Aerodynamic roughness (AR) is an important parameter that influences the momentum and energy exchange between the earth’s surface and the atmosphere. In this study, profile wind data observed during the vegetation growing period (April–September) in 2013 and 2014 at the A’rou grassland station, which is in the upstream of the Heihe River Basin (HRB), were used to determine the relationship betw...

Improved and up-to-date land use/land cover (LULC) datasets are needed for intensively cropped regions such as the U.S. Central Great Plains, in order to support a variety of science and policy applications focused on understanding the role and response of the agricultural sector to environmental change issues. The Moderate Resolution Imaging Spectroradiometer (MODIS) holds considerable promise...

Monthly measurements of leaf area index (LAI) and the fraction of absorbed photosynthetically active radiation (fAPAR) taken at approximately monthly intervals were collected along three 750 m transects in a Kalahari woodland near Mongu in western Zambia. These data were compared with MODIS NDVI (MOD13, Collection 3) and MODIS LAI and fAPAR products (MOD15, Collection 3) over a 2 year period (2...

The AnnAGNPS pollution model uses evapotranspiration as one of the inputs to predict runoff, sediment, nutrients, and pesticide contributions from land to streams. This modeling tool has been modified to accept evapotranspiration estimates derived from remotely sensed imagery, produced by the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor. This research evaluated the next generati...

BACKGROUND In the tropics, rainfall data are seldom accurately recorded, and are often discontinuous in time. In the scope of plague-research in northeast Tanzania, we adapted previous research to reconstruct rainfall patterns at a suitable resolution (1 km), based on time series of NDVI: more accurate satellite imagery was used, in the form of MODIS NDVI, and rainfall data were collected from ...

[1] MODIS-based leaf area index (LAI) and normalized difference vegetation index (NDVI) are used to examine detailed information regarding actual growing season and total annual production for various regions. Overall, MODIS LAI has larger variability and demonstrates more information regarding the evolution and structure of the seasonal vegetation characteristics. In contrast, the NDVI saturat...

Vegetation indices (VIs) are widely used in long-term measurement studies of vegetation changes, including seasonal vegetation activity and interannual vegetation-climate interactions. There is much interest in developing cross-sensor/multi-mission vegetation products that can be extended to future sensors while maintaining continuity with present and past sensors. In this study we investigated...

Crop identification is the basis of crop monitoring using remote sensing. Remote sensing the extent and distribution of individual crop types has proven useful to a wide range of users, including policy-makers, farmers, and scientists. Northern China is not merely the political, economic, and cultural centre of China, but also an important base for grain production. Its main grains are wheat, m...