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クイックバード画像をトレーニングデータに用いた回帰ツリー法による樹木被覆率の推定 (英文)
Estimating Percent Tree Cover Using Regression Tree Method with Very-High-Resolution QuickBird Images as Training Data

ROKHMATULOH, Daisuke NITTO, Hussam Al BILBISI, Kota ARIHARA, Ryutaro TATEISHI
2007 Journal of The Remote Sensing Society of Japan  
., Estimating Percent Tree Cover Using Regression Tree Method with Very-High-Resolution QuickBird Images as Training Data Breiman, J. Friedman, R. Olshen and C.  ...  in the northern part of Africa ; each image of percent tree cover of Africa with very-high-resolution of QuickBird data covers an area of about / / km.  ...  He has attended several local and international conferences during his period of study in Japan. His research interests are data fusion and tree cover mapping for regional and global areas. Ryutaro  ... 
doi:10.11440/rssj.27.1 fatcat:434irqstgnhfzf6wjlpri53hdm

Estimating the fractional cover of growth forms and bare surface in savannas. A multi-resolution approach based on regression tree ensembles

Ursula Gessner, Miriam Machwitz, Christopher Conrad, Stefan Dech
2013 Remote Sensing of Environment  
While QuickBird/IKONOS data are classified into discrete classes, at Landsat and MODIS resolutions, sub-pixel cover is delineated using non-parametric ensemble regression trees from the random forest family  ...  The approach incorporates very high resolution (QuickBird/IKONOS, 0.6-1 m), high resolution (Landsat TM/ETM+, 30 m), and medium resolution data (MODIS, 250 m).  ...  Acknowledgments This study was funded by the German Federal Ministry of Education and Research (BMBF) as part of the project BIOTA South (Biodiversity Transect Analysis).  ... 
doi:10.1016/j.rse.2012.10.026 fatcat:6preqo7qo5c47gtdmghxqm33oq

Forest Aboveground Biomass Estimation and Mapping through High-Resolution Optical Satellite Imagery—A Literature Review

Adeel Ahmad, Hammad Gilani, Sajid Rashid Ahmad
2021 Forests  
The literature review suggested that, along with the integration of other sensors, QuickBird, WorldView-2, and IKONOS satellite images were most widely used for AGB estimations, with higher estimation  ...  while very few (11%) studies used non-linear (multiple and exponential) regression for estimating AGB.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/f12070914 fatcat:pjh35czk3zgq5cr2qekiel47fy

Optimization of Second-Order Grey-Level Texture in High-Resolution Imagery for Statistical Estimation of Above-Ground Biomass

Y. O. Ouma
2006 Journal of Environmental Informatics  
To quantify the significance of GLCM-textures in AGB estimation, regressions between the field-AGB estimates and estimates from the NIR band and the tested GLCM-textures as independent variables, and their  ...  Kenya forest with mixed vegetation biophysical characteristics was selected for grey-level co-occurrence matrix (GLCM) optimization and comparison based on semivariogram modeling from high spatial resolution  ...  The authors wish to gratefully acknowledge the grants from the Japanese Government-Ministry of Education and Science for this research.  ... 
doi:10.3808/jei.200600078 fatcat:sndmxh7ngzb7zhsret76rdrofm

Subpixel Urban Land Cover Estimation

Jeffrey T. Walton
2008 Photogrammetric Engineering and Remote Sensing  
Urban forest canopy cover and impervious surface cover were estimated from Landsat-7 ETMϩ imagery using a higher resolution cover map resampled to 30 m as training and reference data.  ...  Three machine learning subpixel estimation methods (Cubist, Random Forests, and support vector regression) were applied to estimate urban cover.  ...  The use of trade, firm, or corporation names in this article is for the information and convenience of the reader.  ... 
doi:10.14358/pers.74.10.1213 fatcat:h4vndr5jqzarvdoigppuqmxnbe

Multiscale Remote Sensing to Map the Spatial Distribution and Extent of Cropland in the Sudanian Savanna of West Africa

Gerald Forkuor, Christopher Conrad, Michael Thiel, Benewinde Zoungrana, Jérôme Tondoh
2017 Remote Sensing  
The latter can also be attributed to GlobeLand30, a high spatial resolution (30 m) global land cover map from Landsat and HJ-1 satellite images [21] .  ...  Here, very limited validation of this product has so far been performed over West Africa [13] and its usage as training or validation data for further analysis could lead to error propagation.  ...  The use of very high resolution images can enable a better detection of land cover units and subsequently the derivation of more realistic cover proportions to be used as training data (response) in the  ... 
doi:10.3390/rs9080839 fatcat:5vmbsj6xgvawpkd6nmcmg6cxda

Measuring Woody Encroachment along a Forest–Savanna Boundary in Central Africa

E. T. A. Mitchard, S. S. Saatchi, F. F. Gerard, S. L. Lewis, P. Meir
2009 Earth Interactions  
A cross-calibrated normalized difference vegetation index (NDVI) change detection method was used to compare three high-resolution images from 1986, 2000, and 2006.  ...  The canopy dimensions and locations of over 1000 trees in the study area were measured, and a very strong relationship between canopy area index (CAI) and NDVI was found.  ...  The authors wish to thank two anonymous reviewers for their detailed comments on an earlier draft of the manuscript. Gatsby Plants for provided  ... 
doi:10.1175/2009ei278.1 fatcat:iwsowp2e3rcm3csjduqnsokvhm

Object-Based Image Analysis of VHR Satellite Imagery for Population Estimation in Informal Settlement Kibera-Nairobi, Kenya [chapter]

Tatjana Veljanovski, Ura Kanjir, Peter Pehani, Kritof Otir, Primo Kovai
2012 Remote Sensing - Applications  
Satellite images taken with very high resolution (VHR) sensors, i.e. resolution around and below 1 m, enable skilled user to identify and extract buildings, trees, narrow paths and other objects of comparable  ...  A side effect of higher resolution is larger quantity of data which require more storage capacities and processing costs.  ...  Valuable population estimation can be made with a relatively low cost if residential area if accurately estimated from high-resolution images, although some considerations exist.  ... 
doi:10.5772/37869 fatcat:ijdqm7hmwjgqtddvflexlzg4ay

Assessing the Utility of Satellite Imagery with Differing Spatial Resolutions for Deriving Proxy Measures of Slum Presence in Accra, Ghana

Justin Stoler, Dean Daniels, John R. Weeks, Douglas A. Stow, Lloyd L. Coulter, Brian Karl Finch
2012 GIScience & Remote Sensing  
Correlation and regression analyses compare the SMA results with a Slum Index created from various socioeconomic data taken from the Census of Ghana, as well as to data derived from a "hard" per-pixel  ...  classification of a 2.4 m Quickbird image.  ...  of Health.  ... 
doi:10.2747/1548-1603.49.1.31 pmid:23847453 pmcid:PMC3705761 fatcat:63qdv6ozbbg3nmbo4iaji5dxzi

REVIEW OF HIGH-RESOLUTION GLOBAL LAND COVER

G. Bratic, A. Vavassori, M. A. Brovelli
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The land cover detection on our planet at high spatial resolution has a key role in many scientific and operational applications, such as climate modeling, natural resources management, biodiversity studies  ...  In this paper we propose a review of the high-resolution global land cover products developed through Earth Observation technologies.  ...  data The set of training data was extracted using ancillary information, in particular Quickbird imagery and existing layers of percent tree cover derived from Landsat in Web-Enabled Landsat Data (WELD  ... 
doi:10.5194/isprs-archives-xliii-b4-2021-175-2021 doaj:0be5159cbcbe4b209be206d399c9ceab fatcat:4mgsoa5gzjfx5fqmzghbeyqqam

Identification of driving factors of land degradation and deforestation in the Wildlife Reserve of Bontioli (Burkina Faso, West Africa)

Kangbéni Dimobe, Amadé Ouédraogo, Soungalo Soma, Dethardt Goetze, Stefan Porembski, Adjima Thiombiano
2015 Global Ecology and Conservation  
The Total Wildlife Reserve of Bontioli (TWRB) in Burkina Faso is one of the country's refuges with high biodiversity.  ...  The socio-economic data were analyzed using rankings and binary logistic regression techniques.  ...  The authors are very grateful to the field assistants and local populations who helped in data collection.  ... 
doi:10.1016/j.gecco.2015.10.006 fatcat:apzwetlm6fd4fd3u4hixa2mbue

An Assessment of Global Forest Change Datasets for National Forest Monitoring and Reporting

Nikolaos Galiatsatos, Daniel N.M. Donoghue, Pete Watt, Pradeepa Bholanath, Jeffrey Pickering, Matthew C. Hansen, Abu R.J. Mahmood
2020 Remote Sensing  
without using independent high-quality reference data.  ...  A complimentary analysis using a two-stage stratified random sampling design showed the 94% tree canopy cover threshold gave a close correspondence (R2 = 0.98) with the Guyana-MRV data, while the Global  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12111790 fatcat:vzws62ttqfafdae3ek7i6shupi

Remote sensing of forest insect disturbances: Current state and future directions

Cornelius Senf, Rupert Seidl, Patrick Hostert
2017 International Journal of Applied Earth Observation and Geoinformation  
A method for detecting large-scale forest cover change using coarse spatial resolution imagery. Remote Sens Environ. 2005; 95:414-427. Gartner P, Forster M, Kleinschmit B.  ...  Mapping insect-induced tree defoliation and mortality using coarse spatial resolution satellite imagery. Int J Remote Sens. 2005; 26:193-200. Fraser RH, Abuelgasim A, Latifovic R.  ...  : HyMap, QuickBird, RadpidEye, and WorldView-2), and another 15% of the studies used very high resolution data (including Lidar, which accounted for 7% of the total number of studies).  ... 
doi:10.1016/j.jag.2017.04.004 pmid:28860949 pmcid:PMC5572637 fatcat:lzh6wuoyyrhexdl54nrlsdohyi

Automated cropland mapping of continental Africa using Google Earth Engine cloud computing

Jun Xiong, Prasad S. Thenkabail, Murali K. Gumma, Pardhasaradhi Teluguntla, Justin Poehnelt, Russell G. Congalton, Kamini Yadav, David Thau
2017 ISPRS journal of photogrammetry and remote sensing (Print)  
The study used 16-day time-series of Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) composited data at 250-m resolution for the entire African continent  ...  training samples, (b) very high (submeter to five-meter) resolution imagery (VHRI), and (c) local knowledge captured during field visits and/ or sourced from country reports and literature.  ...  Peng Gong for sharing of FROMGLC Validation Dataset ; Dr. Ryutaro Tateishi  ... 
doi:10.1016/j.isprsjprs.2017.01.019 fatcat:to2o4x3iw5gfpad7nijjg2vedy

Dosage Compensation via Transposable Element Mediated Rewiring of a Regulatory Network

C. E. Ellison, D. Bachtrog
2013 Science  
In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of  ...  The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year.  ...  Development of all methods was supported by NASA through its Land Cover and Land Use Change, Terrestrial Ecology, Applied Sciences, and MEaSUREs programs (grants NNH05ZDA001N, NNH07ZDA001N, NNX12AB43G,  ... 
doi:10.1126/science.1239552 pmid:24233721 pmcid:PMC4086361 fatcat:o6ebtfugirbyfifttpihzfqbra
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