Fractional Vegetation Cover Estimation Algorithm for FY-3B Reflectance Data Based on Random Forest Regression Method
نویسندگان
چکیده
منابع مشابه
Fractional Vegetation Cover Estimation In Urban Environments
Quality of life in urban environments is closely related to vegetation cover. The Urban growth and its related environmental problems, planners are forced to implement policies to improve the quality of urban environment. Thus, vegetation mapping for planning and managing urban is critical. Given the spectral complexity of the urban environment and the sparse vegetation in these areas, to gener...
متن کاملHigh density biomass estimation: Testing the utility of Vegetation Indices and the Random Forest Regression algorithm
Accurate estimates of wetland above ground biomass (AGB) have increasingly been identified as a critical component for an efficient wetland monitoring and management system. Multispectral remote sensing based indices have proven inadequate in estimating biomass especially at high canopy density. In this study we investigated the use of vegetation indices derived from field hyperspectral data to...
متن کاملRandom Forest Algorithm for Land Cover Classification
Since the launch of the first land observation satellite Landsat-1 in 1972, many machine learning algorithms have been used to classify pixels in Thematic Mapper (TM) imagery. Classification methods range from parametric supervised classification algorithms such as maximum likelihood, unsupervised algorithms such as ISODAT and k-means clustering to machine learning algorithms such as artificial...
متن کاملdeterminate aster satellite data capability and classification and regression tree and random forest algorithm for forest type mapping
recognition equal units and segregation them and upshot planning per units most basic method for management forest units. aim this study presentation and comparison classification and regression tree (cart) and random forest (rf) algorithm for forest type mapping using aster satellite data in district one didactic and research forest's darabkola. in start using inventory network 500* 350 m...
متن کاملA Random Forest Classifier based on Genetic Algorithm for Cardiovascular Diseases Diagnosis (RESEARCH NOTE)
Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2021
ISSN: 2072-4292
DOI: 10.3390/rs13112165