Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery
出版年份 2018 全文链接
标题
Assessing the Variability of Corn and Soybean Yields in Central Iowa Using High Spatiotemporal Resolution Multi-Satellite Imagery
作者
关键词
-
出版物
Remote Sensing
Volume 10, Issue 9, Pages 1489
出版商
MDPI AG
发表日期
2018-09-18
DOI
10.3390/rs10091489
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2
- (2018) Kaiyu Guan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA
- (2018) Yang Yang et al. REMOTE SENSING OF ENVIRONMENT
- Capturing rapid land surface dynamics with Collection V006 MODIS BRDF/NBAR/Albedo (MCD43) products
- (2018) Zhuosen Wang et al. REMOTE SENSING OF ENVIRONMENT
- Improving Spatial-Temporal Data Fusion by Choosing Optimal Input Image Pairs
- (2018) Donghui Xie et al. Remote Sensing
- Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions
- (2018) et al. Remote Sensing
- Impact of Spatial Sampling on Continuity of MODIS–VIIRS Land Surface Reflectance Products: A Simulation Approach
- (2017) Nima Pahlevan et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Satellite-based assessment of yield variation and its determinants in smallholder African systems
- (2017) Marshall Burke et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- (2017) Noel Gorelick et al. REMOTE SENSING OF ENVIRONMENT
- Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries
- (2017) George Azzari et al. REMOTE SENSING OF ENVIRONMENT
- Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
- (2017) Feng Gao et al. REMOTE SENSING OF ENVIRONMENT
- Relationships between the evaporative stress index and winter wheat and spring barley yield anomalies in the Czech Republic
- (2016) MC Anderson et al. CLIMATE RESEARCH
- Monitoring interannual variation in global crop yield using long-term AVHRR and MODIS observations
- (2016) Xiaoyang Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Conterminous United States crop field size quantification from multi-temporal Landsat data
- (2016) L. Yan et al. REMOTE SENSING OF ENVIRONMENT
- The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts
- (2016) Martha C. Anderson et al. REMOTE SENSING OF ENVIRONMENT
- Towards regional grain yield forecasting with 1km-resolution EO biophysical products: Strengths and limitations at pan-European level
- (2015) Raúl López-Lozano et al. AGRICULTURAL AND FOREST METEOROLOGY
- Improving the timeliness of winter wheat production forecast in the United States of America, Ukraine and China using MODIS data and NCAR Growing Degree Day information
- (2015) B. Franch et al. REMOTE SENSING OF ENVIRONMENT
- A scalable satellite-based crop yield mapper
- (2015) David B. Lobell et al. REMOTE SENSING OF ENVIRONMENT
- Fusing Landsat and MODIS Data for Vegetation Monitoring
- (2015) Feng Gao et al. IEEE Geoscience and Remote Sensing Magazine
- Landsat-8: Science and product vision for terrestrial global change research
- (2014) D.P. Roy et al. REMOTE SENSING OF ENVIRONMENT
- Near real-time prediction of U.S. corn yields based on time-series MODIS data
- (2014) Toshihiro Sakamoto et al. REMOTE SENSING OF ENVIRONMENT
- Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics
- (2013) Douglas K. Bolton et al. AGRICULTURAL AND FOREST METEOROLOGY
- MODIS-based corn grain yield estimation model incorporating crop phenology information
- (2013) Toshihiro Sakamoto et al. REMOTE SENSING OF ENVIRONMENT
- An assessment of pre- and within-season remotely sensed variables for forecasting corn and soybean yields in the United States
- (2013) David M. Johnson REMOTE SENSING OF ENVIRONMENT
- An evaluation of MODIS 8- and 16-day composite products for monitoring maize green leaf area index
- (2012) Noemi Guindin-Garcia et al. AGRICULTURAL AND FOREST METEOROLOGY
- The use of satellite data for crop yield gap analysis
- (2012) David B. Lobell FIELD CROPS RESEARCH
- Remote estimation of crop gross primary production with Landsat data
- (2012) Anatoly A. Gitelson et al. REMOTE SENSING OF ENVIRONMENT
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- (2012) M. Drusch et al. REMOTE SENSING OF ENVIRONMENT
- Crop yield forecasting on the Canadian Prairies using MODIS NDVI data
- (2011) M.S. Mkhabela et al. AGRICULTURAL AND FOREST METEOROLOGY
- Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
- (2011) Claire Boryan et al. Geocarto International
- Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model
- (2010) Jiangui Liu et al. REMOTE SENSING OF ENVIRONMENT
- A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data
- (2010) I. Becker-Reshef et al. REMOTE SENSING OF ENVIRONMENT
- Remote Sensing of Irrigated Agriculture: Opportunities and Challenges
- (2010) Mutlu Ozdogan et al. Remote Sensing
- Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China
- (2008) Jianqiang Ren et al. International Journal of Applied Earth Observation and Geoinformation
- The early explanatory power of NDVI in crop yield modelling
- (2008) Lenny Wall et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US
- (2008) Mutlu Ozdogan et al. REMOTE SENSING OF ENVIRONMENT
- Development of a two-band enhanced vegetation index without a blue band
- (2008) Z JIANG et al. REMOTE SENSING OF ENVIRONMENT
- Phenologically-tuned MODIS NDVI-based production anomaly estimates for Zimbabwe
- (2008) Chris Funk et al. REMOTE SENSING OF ENVIRONMENT
- 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
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now