Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Zhong-Xin Chen"'
Publikováno v:
Journal of Integrative Agriculture, Vol 19, Iss 7, Pp 1897-1911 (2020)
Early-season crop type mapping could provide important information for crop growth monitoring and yield prediction, but the lack of ground-surveyed training samples is the main challenge for crop type identification. Although reference time series ba
Externí odkaz:
https://doaj.org/article/389143d9679a44ae86792b43a4e19a0f
Publikováno v:
Journal of Integrative Agriculture, Vol 18, Iss 12, Pp 2883-2897 (2019)
An increase in crop intensity could improve crop yield but may also lead to a series of environmental problems, such as depletion of ground water and increased soil salinity. The generation of high resolution (30 m) crop intensity maps is an importan
Externí odkaz:
https://doaj.org/article/27c6cf5cd160472e93ccc3f4df5a35b8
Publikováno v:
Journal of Integrative Agriculture, Vol 18, Iss 3, Pp 506-525 (2019)
Synthetic aperture radar (SAR) is an effective and important technique in monitoring crop and other agricultural targets because its quality does not depend on weather conditions. SAR is sensitive to the geometrical structures and dielectric properti
Externí odkaz:
https://doaj.org/article/781e95b250a54039afcfbff10a8bee37
Publikováno v:
Journal of Integrative Agriculture, Vol 17, Iss 9, Pp 1915-1931 (2018)
Big data with its vast volume and complexity is increasingly concerned, developed and used for all professions and trades. Remote sensing, as one of the sources for big data, is generating earth-observation data and analysis results daily from the pl
Externí odkaz:
https://doaj.org/article/e423393f6e4143328189652bd7d560ea
Publikováno v:
Journal of Integrative Agriculture, Vol 17, Iss 9, Pp 2096-2106 (2018)
Information on crop acreage is important for formulating national food polices and economic planning. Spatial sampling, a combination of traditional sampling methods and remote sensing and geographic information system (GIS) technology, provides an e
Externí odkaz:
https://doaj.org/article/7e46e7154c9f4cdebac8b93309d0244b
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 10, Pp 2283-2299 (2017)
Abstract: To accurately estimate winter wheat yields and analyze the uncertainty in crop model data assimilations, winter wheat yield estimates were obtained by assimilating measured or remotely sensed leaf area index (LAI) values. The performances o
Externí odkaz:
https://doaj.org/article/8e404e8d7a0f40278a0f987bbedc35ac
Publikováno v:
Journal of Integrative Agriculture, Vol 16, Iss 2, Pp 266-285 (2017)
Using simultaneously collected remote sensing data and field measurements, this study firstly assessed the consistency and applicability of China high-resolution earth observation system satellite 1 (GF-1) wide field of view (WFV) camera, environment
Externí odkaz:
https://doaj.org/article/08e122b292fa4064a28cf89af0147c05
Publikováno v:
Journal of Integrative Agriculture, Vol 15, Iss 11, Pp 2647-2657 (2016)
The sown area of winter wheat in the Huang-Huai-Hai (HHH) Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the main factors that influence its d
Externí odkaz:
https://doaj.org/article/04b58650b44f437ea2ba353854d1e57f
Publikováno v:
Korean Journal of Soil Science and Fertilizer. 51:222-238
Publikováno v:
Journal of Integrative Agriculture, Vol 15, Iss 11, Pp 2647-2657 (2016)
The sown area of winter wheat in the Huang-Huai-Hai (HHH) Plain accounts for over 65% of the total sown area of winter wheat in China. Thus, it is important to monitor the winter wheat growth condition and reveal the main factors that influence its d