Dynamic monitoring and yield estimation of crops by mainly using the remote sensing technique in China.
@article{Sun2000DynamicMA, title={Dynamic monitoring and yield estimation of crops by mainly using the remote sensing technique in China.}, author={Jiulin Sun}, journal={Photogrammetric Engineering and Remote Sensing}, year={2000}, volume={66}, pages={645-650} }
In recent decades, using remote sensing and other techniques to dynamically monitor crop growth and estimate crop yields has become an important research trend in China, which is one of the most important applications of remote sensing in agn'culture. In this article, the author first reviews the history of research on crops yield estimation, then introduces the main contents of the research and explains how to establish an operating system for remote sensing, including the key techniques and…
23 Citations
Monitoring of phenological stage and yield estimation of sunflower plant using Sentinel-2 satellite images
- Environmental ScienceGeocarto International
- 2020
Abstract With the increase of the world’s population, while urbanization is increasing, agricultural lands are decreasing. Therefore, monitoring of up-to-date agricultural lands is important for…
Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques
- Mathematics, Computer ScienceRemote. Sens.
- 2010
The goal of this paper was to investigate the strength of key spectral vegetation indices for agricultural crop yield prediction using neural network techniques and Log10 data transformation technique was used to enhance the prediction ability of the PVI models of years 1998, 1999, and 2001.
ESTIMATION OF MAIZE GRAIN YIELD USING MULTISPECTRAL SATELLITE DATA SETS (SPOT 5) AND THE RANDOM FOREST ALGORITHM
- Environmental Science
- 2018
Crop yield estimation is a very important aspect in food production as it provides information to policy and decision makers that can guide food supply not only to a nation but also influence its…
Remote Sensing and Geospatial Technological Applications for Site-specific Management of Fruit and Nut Crops: A Review
- Computer Science, GeologyRemote. Sens.
- 2010
A comprehensive review of advanced technologies, including geospatial technologies, used in site-specific management of fruit and nut crops, using satellite sensors as well as hyperspectral narrow-band remote sensing data from different platforms are analyzed.
Detection of phenology using an improved shape model on time-series vegetation index in wheat
- Environmental ScienceComput. Electron. Agric.
- 2020
Area extraction and spatiotemporal characteristics of winter wheat–summer maize in Shandong Province using NDVI time series
- Medicine, Environmental SciencePloS one
- 2019
The results show that winter wheat–summer maize planting areas were mainly distributed in the western plains, southern region, and north-eastern part of the middle mountainous regions while the eastern hilly regions were less distributed and scattered.
Monitoring Maize (Zea mays L.) Phenology with Remote Sensing
- Biology
- 2004
The objective of this paper is to remotely evaluate the phenological development of maize in terms of both biomass accumulation and reproductive organ appearance by means of the recently developed visible atmospherically resistant indices, derived from spectral reflectance data.
Remote sensing of environmental change over China: A review
- Environmental Science
- 2012
China is a large country by area. In situ monitoring of the environment cannot meet the demand of the society. For large areas, remote sensing is the only viable technology for environmental…
Satellite-based studies on large-scale vegetation changes in China.
- Environmental Science, MathematicsJournal of integrative plant biology
- 2012
This paper reviewed satellite-based studies on vegetation cover changes, biomass and productivity variations, phenological dynamics, desertification, and grassland degradation in China that occurred over the past 2-3 decades and found that the satellite-derived index (Normalized Difference Vegetation Index, NDVI) during growing season and the vegetation net primary productivity in major terrestrial ecosystems have significantly increased.
Comparison of citrus orchard inventory using LISS-III and LISS-IV data
- Geography, EngineeringAsia-Pacific Remote Sensing
- 2016
In India, in terms of area under cultivation, citrus is the third most cultivated fruit crop after Banana and Mango. Among citrus group, lime is one of the most important horticultural crops in India…
27 References
The use of multi-temporal NDVI measurements from AVHRR data for crop yield estimation and prediction
- Environmental Science
- 1993
Abstract This paper investigates the potential of using vegetation index profiles from AVHRR data to monitor crop yield. A retrospective study and predictive study is presented, for 1986-1988 and…
Estimation of cropped area and grain yield of rice using remote sensing data
- Mathematics
- 1992
Abstract Studies for estimating cultivated area and yield of rice using remote sensing data acquired from the Landsat Thematic Mapper (TM) system with six bands (1, 2, 3,4, 5,7) were conducted. Three…
Rice crop identification and area estimation using remotely-sensed data from Indian cropping patterns
- Environmental Science, Mathematics
- 1987
Abstract This study attempts to give an appraisal of the use of remotely-sensed data for different rice cropping patterns specific to India. Using even 80 m spatial resolution data of LANDSAT MSS in…
Monitoring rice areas using LANDSAT MSS data
- Environmental Science
- 1987
A specialized system to monitor the rice growing areas of New South Wales has been developed and is quite different in approach to that adopted in multi-temporal image classification as utilized in LACIE and AgRISTARS.
Global Crop Forecasting
- EconomicsScience
- 1980
A crop inventory system using satellite remote sensing and worldwide weather reporting and tested it in the Large Area Crop Inventory Experiment (LACIE) indicates that the approach works and may be expandable to other areas and other crops.
A mixture model approach for estimating crop areas from Landsat data
- Environmental Science, Mathematics
- 1984
Crop area estimates through remote sensing: stability of the regression correction
- Mathematics, Environmental Science
- 1993
Regression results seem to be more reliable if training pixels are chosen at random in a random subset of segments (elements of the area sampling frame) and some risk of bias is observed if segments withTraining pixels are included to compute the regression parameters.
Rice crop identification and area estimation using remotely sensed data from India cropping patterns, International
- Journal of Remote Sensing,
- 1987
Series Monographs of the Study on Dynamic Monitoring and Yield Estimation of Crops with Remote Sensing in China, Science and Technology
- Press of China,
- 1996