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Publikováno v:
IGARSS
The aim of this study is to construct a rice yield estimation model for Bangladesh. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) images have been used. The MODIS NDVI images and gr
Autor:
Yonggang Qian, Yongguang Zhao, Chuan-Rong Li, Ning Wang, Shi Qiu, Lingli Tang, Ling-Ling Ma, Kun Li
Publikováno v:
IGARSS
Web of Science
Web of Science
This paper describes a four-component parameterized directional thermal radiance model for row crops, which consists of the thermal radiance of the sunlit/shaded soil and sunlit/shaded leaf, multiple scattering effects of canopy and sensor field of v
Publikováno v:
IGARSS
In this work, land surface temperature (LST) was downscaled by statistical regression model based on the nonlinear relationship with environment variables, including land surface reflectance, spectral indices, terrain factors, land cover type, reanal
Autor:
Gulab Singh, Mohamed Saiyad Musthafa
Publikováno v:
IGARSS
This research study demonstrates the potential of simple two stage classification algorithm based on polarimetric descriptor alpha angle to categorize forests into different forest dynamic states. The forest dynamics states such as maturity, disturba
Publikováno v:
IGARSS
Sensitivity of delay-Doppler maps to wind direction is assessed after a deconvolution operation based on a constrained least squares algorithm. The wind direction is estimated using a first-order Taylor expansion of the scattered power function, whic
Autor:
Koreen Millard, Amir Behnamian, Lori White, Jason Duffe, Sarah N. Banks, Darren Pouliot, Jon Pasher
Publikováno v:
IGARSS
Random Forest variable importance measures such as mean decrease in accuracy or Gini index are often used to reduce the number of predictor variables for a given classification problem. However, previous studies suggest that Random Forest variable ra
Publikováno v:
IGARSS
Hyperspectral data is commonly used in vegetation study such as classification, health state monitoring and bioparameter estimation, but Hughes effect often affects the hyperspectral analysis. However, robust feature selection methods are hardly dete
Publikováno v:
IGARSS
This paper addresses the forest height inversion based on the modified RMoG model using repeat-pass Pol-InSAR data. The linear variance of the Gaussian motion distribution in the RMoG model is replaced by a linear standard deviation to describe the v
Publikováno v:
IGARSS
The tree height estimation using the simplified three-stage algorithm and HH and HV polarizations or dual-polarization data was studied. First, we considered (HH+2×HV) as VV data obtaining the simulated quad-polarization data. Then, the polarization
Publikováno v:
IGARSS
This paper demonstrates an approach to develop a prediction based model for forecasting Boro rice areas in the haor region of Bangladesh. Forecasting the rice areas can contribute in creating a centralized monitoring system for planning effi-cient st