In the arid Mojave Desert, the phenological response of vegetation is largely dependent upon the timing and amount of rainfall, and maps of annual plant cover at any one point in time can vary widely. Our study developed relative annual plant growth models as proxies for annual plant cover using metrics that captured phenological variability in Moderate-Resolution Imaging Spectroradiometer (MOD...

The Moderate Resolution Imaging Spectrometer (MODIS) is an earth-viewing sensor being developed as a facility instrument for the Earth Observing System (EOS) to be launched in the late 1990’s. MODIS consists of two separate instruments that scan a swath width sufficient to provide nearly complete global coverage every 2 days from a polar-orbiting, sun-synchronous, platform at an altitude of 705...

The Moderate Resolution Imaging Spectroradiometer (MODIS) is an earth-viewing sensor that flies on the Earth Observing System (EOS) Terra and Aqua satellites, launched in 1999 and 2002, respectively. MODIS scans a swath width of 2330 km that is sufficiently wide to provide nearly complete global coverage every two days from a polar-orbiting, sun-synchronous, platform at an altitude of 705 km. M...

Leaf area index (LAI) is a key variable for many ecological models, but it is typically not available from basic forest inventories. In this study, we (1) construct a high-resolution LAI map using k nearest-neighbor (k-NN) imputation based on National Forest Inventory data and Landsat 5 TM images (Landsat-NFI LAI), and (2) examine a moderate-resolution LAI map produced based on reduced simple r...

In this paper, we propose a super-resolution image reconstruction algorithm to moderate-resolution imaging spectroradiometer (MODIS) remote sensing images. This algorithm consists of two parts: registration and reconstruction. In the registration part, a truncated quadratic cost function is used to exclude the outlier pixels, which strongly deviate from the registration model. Accurate photomet...

Trophic Level Index (TLI) is o en used to assess the general eutrophication state of inland lakes in water science, technology, and engineering. In this paper, a data-driven inland-lake eutrophication assessment method was proposed by using an arti cial neural network (ANN) to build relationships from remote sensing data and in-situ TLI sampling. In order to train the net, Moderate Resolution I...

This study aimed to evaluate the response of the Normalized Difference Vegetation Index NDVI derived from Terra MODIS sensor to soybean phenology, in a grain producer region of Parana State, Brazil. Landsat TM and ETM+ images were selected to analyze the spatial distribution of soybean fields for this region from 2000/01 to 2006/07 crop seasons. Then pure pixel samples (250 x 250m) that contain...

This paper presents an overview of the sub-mesoscale eddies observed in the coastal zone of the south-eastern Baltic near the shores of the Sambian Peninsula and the Curonian Spit based on CODAR (high-frequency coast-based radar) measurements and analysis of MODIS and ASAR satellite images for the period 30 March 2000– 31 December 2011. It was found that when winds are predominantly SW, S or W,...

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...

This study presents the application of a Light Use Efficiency model that exploits MODIS satellite data to assess rice yield in Italy. Field experimental data acquired in 2003 and 2004 were used to define model’s parameters (Radiation Use Efficiency and Harvest Index) and to calibrate the relation between MODIS-EVI and the fraction of Absorbed Photosynthetically Active Radiation (fAPAR). Satelli...