Image classifications, including sub-pixel analysis, are often used to estimate crop acreage directly. However, this type of assessment often leads to a biased estimation, because commission and omission errors generally do not compensate for each other. Regression estimators combine remote sensing information with more accurate ground data on a field sample, and can result in more accurate and...

This study assessed land cover (LC) changes in Kahramanmaraş (K.Maraş) and its environs by using multitemporal Landsat and ASTER imagery, respectively belong to 1989, 2000 and 2004. A priori defined nine land cover classes in the classification scheme were urban and built-up, forest, sparsely vegetated areas, grassland, vegetated stream beds, unvegetated stream beds, bare areas, crop fields, an...

We present a set of algorithms that can be used to locate and crop the chess-board/chesspieces from the picture, including every rectangular grid with any pattern. Our method is nonparametric, and thus does not require the prior knowledge from computer vision and machine learning, which is instead inferred from data. We illustrate the application of our method to a variety of examples, such as ...

Although short-rotation woody crop biomass production technology has demonstrated a promising potential to supply feedstocks for bioenergy production, the water and nutrient processes in the woody crop planation ecosystem are poorly understood. In this study, a computer model was developed to estimate the dynamics of water and nitrogen (N) species (e.g., NH-N, NO-N, particulate organic N, and s...

tion, conservation of soil water may result in greater soil evaporation, especially if the top soil layers remain wetter, and the full benefit of sustained plant physiological activity will be lost. Therefore, the relative benefit of the two traits depends on temporal pattern in the rainfall and severity of the drying event. Experimental and simulation studies are presented in the book to indic...

The strategic management of agricultural lands involves crop field monitoring each year. Crop discrimination via remote sensing is a complex task, especially if different crops have a similar spectral response and cropping pattern. In such cases, crop identification could be improved by combining object-based image analysis and advanced machine learning methods. In this investigation, we evalua...

The yield of any crop depends on the capacity a plant canopy to intercept and efficiently use sunlight, which is dependent architecture viz., leaf size, shape angle, number leaves branches, geometry row orientation, spacing, geometry, density, etc. amount distribution area in determine way, by which, photosynthetic active radiation intercepted consequently it influences photosynthesis yield. ba...