Phenological metrics-based crop classification using HJ-1 CCD images and Landsat 8 imagery
Crop type data are an important piece of information for many applications in agriculture. Extracting crop type using remote sensing is not easy because multiple crops are usually planted into small parcels with limited availability of satellite images due to weather conditions. In this research, we...
Main Authors: | Xiaochun Zhang, Qinxue Xiong, Liping Di, Junmei Tang, Jin Yang, Huayi Wu, Yan Qin, Rongrui Su, Wei Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2018-12-01
|
Series: | International Journal of Digital Earth |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/17538947.2017.1387296 |
Similar Items
-
Using HJ-1 CCD and MODIS Fusion Data to Invert HJ-1 NBAR for Time Series Analysis, a Case Study in the Mountain Valley of North China
by: Huaiyuan Li, et al.
Published: (2022-11-01) -
The Potential of Time Series Merged from Landsat-5 TM and HJ-1 CCD for Crop Classification: A Case Study for Bole and Manas Counties in Xinjiang, China
by: Pengyu Hao, et al.
Published: (2014-08-01) -
Radioactive Quality Evaluation and Cross Validation of Data from the HJ-1A/B Satellites’ CCD Sensors
by: Xin Zhang, et al.
Published: (2013-07-01) -
Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images
by: Jing Wang, et al.
Published: (2015-03-01) -
Leaf Area Index Retrieval Combining HJ1/CCD and Landsat8/OLI Data in the Heihe River Basin, China
by: Jing Zhao, et al.
Published: (2015-05-01)