Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model
Authors
Keywords
-
Journal
Remote Sensing
Volume 10, Issue 4, Pages 491
Publisher
MDPI AG
Online
2018-03-22
DOI
10.3390/rs10040491
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
- (2017) Zhiwei Li et al. REMOTE SENSING OF ENVIRONMENT
- How do temporal and spectral features matter in crop classification in Heilongjiang Province, China?
- (2017) Qiong HU et al. Journal of Integrative Agriculture
- Monitoring Rice Agriculture across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2
- (2017) Nathan Torbick et al. Remote Sensing
- Spatiotemporal Dynamics and Spatial Determinants of Urban Growth in Suzhou, China
- (2017) Ling Zhang et al. Sustainability
- Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images
- (2016) Qiong Hu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Mapping sub-pixel urban expansion in China using MODIS and DMSP/OLS nighttime lights
- (2016) Xiaoman Huang et al. REMOTE SENSING OF ENVIRONMENT
- Satellite-based ground PM 2.5 estimation using timely structure adaptive modeling
- (2016) Xin Fang et al. REMOTE SENSING OF ENVIRONMENT
- VIIRS-based remote sensing estimation of ground-level PM 2.5 concentrations in Beijing–Tianjin–Hebei: A spatiotemporal statistical model
- (2016) Jiansheng Wu et al. REMOTE SENSING OF ENVIRONMENT
- Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map
- (2016) Myroslava Lesiv et al. Remote Sensing
- Sentinel-2’s Potential for Sub-Pixel Landscape Feature Detection
- (2016) Julien Radoux et al. Remote Sensing
- Building a hybrid land cover map with crowdsourcing and geographically weighted regression
- (2015) Linda See et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Global land cover mapping at 30m resolution: A POK-based operational approach
- (2015) Jun Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- GWmodel: AnRPackage for Exploring Spatial Heterogeneity Using Geographically Weighted Models
- (2015) Isabella Gollini et al. Journal of Statistical Software
- Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics
- (2015) Dmitry Schepaschenko et al. REMOTE SENSING OF ENVIRONMENT
- Estimating ground-level PM10 concentration in northwestern China using geographically weighted regression based on satellite AOD combined with CALIPSO and MODIS fire count
- (2015) Wei You et al. REMOTE SENSING OF ENVIRONMENT
- Spatiotemporal patterns of non-genetically modified crops in the era of expansion of genetically modified food
- (2015) Jing Sun et al. Scientific Reports
- Landsat-8: Science and product vision for terrestrial global change research
- (2014) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
- (2013) F. Löw et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery
- (2013) Liheng Zhong et al. REMOTE SENSING OF ENVIRONMENT
- Mapping the Spatial Distribution of Winter Crops at Sub-Pixel Level Using AVHRR NDVI Time Series and Neural Nets
- (2013) Clement Atzberger et al. Remote Sensing
- Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping
- (2013) Qiong Hu et al. Remote Sensing
- Modifying geographically weighted regression for estimating aboveground biomass in tropical rainforests by multispectral remote sensing data
- (2012) Pavel Propastin International Journal of Applied Earth Observation and Geoinformation
- Generation and analysis of the 2005 land cover map for Mexico using 250m MODIS data
- (2012) René R. Colditz et al. REMOTE SENSING OF ENVIRONMENT
- Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index
- (2012) Yaozhong Pan et al. REMOTE SENSING OF ENVIRONMENT
- Object-based crop identification using multiple vegetation indices, textural features and crop phenology
- (2011) José M. Peña-Barragán et al. REMOTE SENSING OF ENVIRONMENT
- Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices
- (2010) Bo Huang et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modelling tree diameter from airborne laser scanning derived variables: A comparison of spatial statistical models
- (2010) Christian Salas et al. REMOTE SENSING OF ENVIRONMENT
- Classification and regression tree (CART) for analysis of soybean yield variability among fields in Northeast China: The importance of phosphorus application rates under drought conditions
- (2009) Haifeng Zheng et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Spatial non-stationarity and scale-dependency of prediction accuracy in the remote estimation of LAI over a tropical rainforest in Sulawesi, Indonesia
- (2009) Pavel A. Propastin REMOTE SENSING OF ENVIRONMENT
- Comparison of bandwidth selection in application of geographically weighted regression: a case study
- (2008) Luo Guo et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000
- (2008) Chad Monfreda et al. GLOBAL BIOGEOCHEMICAL CYCLES
- Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains
- (2007) Brian D. Wardlow et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started