In this study, a regional winter wheat yield prediction method was developed by integration of time series of Moderate-Resolution Imaging Spectroradiometer MODIS LAI products (MOD15A2) with WOrld FOod STudies (WOFOST) model through Ensemble Kalman Filter (EnKF) algorithm at the regional scale in the Hengshui District, Hebei province in China. WOFOST model was selected as the crop growth dynamic...

Moderate Resolution Imaging Spectroradiometer (MODIS) data have been widely applied for the remote sensing of aerosol optical depth (AOD) because the MODIS sensor features a short revisit period and a moderate spatial resolution. The Dense Dark Vegetation (DDV) method is the most popular retrieval method. However, the DDV method can only be used to retrieve the AOD with high precision when the ...

Çatalca, located on the ridge between the Marmara and the Black Sea, is a rural district of Istanbul having the temperate climate. Landuse involves farming and forestry. This study makes a contribution and revises the applicability of two medium spatial resolution satellite sensors, NOAA AVHRR NDVI and MODIS (Terra) NDVI, for prediction to potential forest resource management in Çatalca distric...

Estimating crop yields is critical for regions in the Aral Sea Basin, where agriculture, predominantly cotton (Gossypium hirsutum L.) production, is the main source of income. Monitoring the spatial distribution of cotton yields helps identifying sites with yield constraints, so that appropriate counteractions such as the application of targeted agricultural inputs or land use restructuring can...

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 photovoltaic bands on the long-wave infrared focal plane assembly of Terra MODIS, bands 27–30, have suffered from steadily increasing contamination from electronic crosstalk as the mission has progressed. This contamination has a great impact on MODIS data products, including image striping and radiometric bias in the Level-1B calibrated radiance product, and incorrect retrieval in atmosphe...

Remote sensing plays a significant role in the estimation of methane and monitoring wetlands flooding duration and extent [1]. Methane is the second largest contributor to the present day greenhouse gas effect [3]. However there are considerable uncertainties in the magnitude of this biogenic emission [2]. For instance, the amount of methane emissions from the Okavango Delta is not known, which...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

Original scientific paper MODIS and CALIOP are two independent observation instruments in the A-train satellite constellation. They both provide aerosol optical depth (AOD) retrievals and scan the same points on the Earth’s surface within a two-minute interval. With different design principles, MODIS and CALIOP instruments obtain varying AOD retrieval accuracies under different conditions. In t...

The NASA moderate resolution imaging spectroradiometer (MODIS) instrument will provide a global and improved source of information for the study of land surfaces with a spatial resolution of up to 250 m. Prior to the derivation of various biophysical parameters based on surface reflectances, the top of the atmosphere signals need to be radiometrically calibrated and corrected for atmospheric ef...