Development of fusion approach for estimation of vegetation fraction cover with drone and sentinel-2 data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 2018-July, Issue , 2018, Pages 7448-7451

  Maurya, Ajay Kumar ^a   Singh, Dharmendra ^a   Singh, K P ^b  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

^b BANARAS HINDU UNIVERSITY   (India)

Author keywords

Dimidiate pixel model; Drone; FVC; NDVI; Sentinel 2; Vegetation index

Indexed keywords

EID: 85063165776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2018.8517613     Document Type: Conference Paper

References (10)

1. X. Wang et al., “Estimating Fractional Vegetation Cover From Landsat-7 ETM+; Reflectance Data Based on a Coupled Radiative Transfer and Crop Growth Model,” IEEE Trans. Geosci. Remote Sens., vol. 55, no. 10, pp. 5539-5546, Oct. 2017.
2. X. Wang, K. Jia, S. Liang, and Y. Zhang, “Fractional Vegetation Cover Estimation Method Through Dynamic Bayesian Network Combining Radiative Transfer Model and Crop Growth Model,” IEEE Trans. Geosci. Remote Sens., vol. 54, no. 12, pp. 7442-7450, Dec. 2016.
3. K. Jia et al., “Global Land Surface Fractional Vegetation Cover Estimation Using General Regression Neural Networks From MODIS Surface Reflectance,” IEEE Trans. Geosci. Remote Sens., vol. 53, no. 9, pp. 4787-4796, Sep. 2015.
4. G. Jiapaer, X. Chen, and A. Bao, “A comparison of methods for estimating fractional vegetation cover in arid regions,” Agric. For. Meteorol., vol. 151, no. 12, pp. 1698-1710, Dec. 2011.
5. A. A. Gitelson, Y. J. Kaufman, R. Stark, and D. Rundquist, “Novel algorithms for remote estimation of vegetation fraction,” Remote Sens. Environ., vol. 80, no. 1, pp. 76-87, Apr. 2002.
6. Y. Liu, X. Mu, H. Wang, and G. Yan, “A novel method for extracting green fractional vegetation cover from digital images,” J. Veg. Sci., vol. 23, no. 3, pp. 406-418, Jun. 2012.
7. W. Song, X. Mu, G. Yan, and S. Huang, “Extracting the Green Fractional Vegetation Cover from Digital Images Using a Shadow-Resistant Algorithm (SHAR-LABFVC),” Remote Sens., vol. 7, no. 8, pp. 10425-10443, Aug. 2015.
8. S. Liang, X. Li, and J. Wang, Eds., “Chapter 13 - Fractional Vegetation Cover,” in Advanced Remote Sensing, Boston: Academic Press, 2012, pp. 415-438.
9. D. Murugan, A. Garg, and D. Singh, “Development of an Adaptive Approach for Precision Agriculture Monitoring with Drone and Satellite Data,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 10, no. 12, pp. 5322-5328, Dec. 2017.
10. T. Dong, J. Meng, J. Shang, J. Liu, and B. Wu, “Evaluation of Chlorophyll-Related Vegetation Indices Using Simulated Sentinel-2 Data for Estimation of Crop Fraction of Absorbed Photosynthetically Active Radiation,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 8, no. 8, pp. 4049-4059, Aug. 2015.