Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data
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Summary
The findings proposed would be helpful in understanding the occurrence and severity distribution of oilseed rape freeze injury under certain natural or vegetation conditions, and thus help in mitigation of this kind of meteorological disaster in southern China.
- Type
- article
- Published
- 2015-02-01
- Cited by
- 25
- References
- 33
- Access
- Open access
- OpenAlex
- https://openalex.org/W52890769
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:24983198
Keywords
Normalized Difference Vegetation Index, Vegetation (pathology), Altitude (triangle), Environmental science, Crop
References
- Central Great Plains
- Monitoring barley and corn growth from remote sensing data at field scale
- Assessment of crop damage using space remote sensing and GIS
- Modeling floodplain inundation using an integrated GIS with radar and optical remote sensing
- Integration of remote sensing data and GIS for accurate mapping of flooded areas
- Monitoring Winter Wheat Freeze Injury Using Multi-Temporal MODIS Data
- A comparison of vegetation indices over a global set of TM images for EOS-MODIS
- Control problems of grey systems
- Monitoring drought dynamics in the Aravalli region (India) using different indices based on ground and remote sensing data
- Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA
- Assessing the impact of extreme climatic events on aspen defoliation using MODIS imagery
- Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China
- A generalized single‐channel method for retrieving land surface temperature from remote sensing data
- Monitoring Winter Wheat Freeze Injury Based on Multi-Temporal Data
- A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status
- The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
- Remote sensing as a data source to analyse regional implications of genetically modified plants in agriculture—Oilseed rape (Brassica napus) in Northern Germany
- Modelling and Mapping Damage to Forests from an Ice Storm Using Remote Sensing and Environmental Data
- Relationships between tree growth and NDVI of grassland in the semi‐arid grassland of north China
- Mapping deciduous forest ice storm damage using Landsat and environmental data
Cited by
- Mapping of Daily Mean Air Temperature in Agricultural Regions Using Daytime and Nighttime Land Surface Temperatures Derived from TERRA and AQUA MODIS Data
- Estimation of rice phenology date using integrated HJ-1 CCD and Landsat-8 OLI vegetation indices time-series images
- Effect of Poly(γ-glutamic acid) on the Physiological Responses and Calcium Signaling of Rape Seedlings (Brassica napus L.) under Cold Stress.
- Monitoring the impacts of waterlogging on winter wheat using high spatial resolution satellite data
- Hyperspectral characterization of freezing injury and its biochemical impacts in oilseed rape leaves
- A Regional Mapping Method for Oilseed Rape Based on HSV Transformation and Spectral Features
- Image-Based Rapid Estimation of Frost Damage in Canola (Brassica napus L.)
- Regional Climate–Yield Relationship for Winter Oilseed Rape in Jiangsu Province, Southeast China
- Quantifying the effect of temporal variability of agro-meteorological disasters on winter oilseed rape yield: a case study in Jiangsu province, southeast China
- Estimation of rice key phenology date using Chinese HJ-1 vegetation index time-series images
- Medium-Resolution Multispectral Data from Sentinel-2 to Assess the Damage and the Recovery Time of Late Frost on Vineyards
- Developing a New Method to Identify Flowering Dynamics of Rapeseed Using Landsat 8 and Sentinel-1/2
- The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data
- Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery
- A survey of image-based computational learning techniques for frost detection in plants
- No-Tillage Promotes Wheat Seedling Growth and Grain Yield Compared with Plow–Rotary Tillage in a Rice–Wheat Rotation in the High Rainfall Region in China
- Automatic freezing-tolerant rapeseed material recognition using UAV images and deep learning
- Developing a phenology- and pixel-based algorithm for mapping rapeseed at 10 m spatial resolution using multi-source data
- Mapping rapeseed planting areas using an automatic phenology- and pixel-based algorithm (APPA) in Google Earth Engine
- A Smart Real-Time Monitoring Method of Vegetable Diseases and Insect Pests Based on Optical Fiber Sensor
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