Erratum: Early-season agricultural drought: Detection, assessment and monitoring using Shortwave Angle and Slope Index (SASI) data (Environ Monit Assess DOI: 10.1007/s10661-013-3299-8));Early-season agricultural drought: Detection, assessment and monitoring using Shortwave Angle and Slope Index (SASI) data

Environmental Monitoring and Assessment

Volumn 185, Issue 12, 2013, Pages 9889-9902

  Das, Prabir Kumar ^a   Murthy, Srirama C ^a   Seshasai, M V R ^a  

^a National Remote Sensing Centre   (India)

Author keywords

Crop planting favourable area; Drought monitoring system; Early season drought; Shortwave Angle Slope Index

Indexed keywords

CROPS; INFRARED DEVICES; MONITORING; RADIOMETERS; RAIN; SOIL MOISTURE;

AGRICULTURAL DROUGHT; ASSESSMENT AND MONITORING; DROUGHT MONITORING; IMPACT ON AGRICULTURE; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; OPERATIONAL PRODUCTS; SHORT WAVE INFRARED; SHORTWAVE ANGLE SLOPE INDEX;

DROUGHT;

RAIN;

AGRICULTURAL PRODUCTION; ASSESSMENT METHOD; DETECTION METHOD; DROUGHT; ENVIRONMENTAL IMPACT ASSESSMENT; MODIS; MONITORING SYSTEM; MONSOON; SEASONALITY; SOIL MOISTURE; TRACKING; TROPICAL ENVIRONMENT;

AGRICULTURE; ARTICLE; CONTROLLED STUDY; CROP PRODUCTION; DROUGHT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PARAMETERS; INDIA; MOISTURE; PLANTING TIME; SEASONAL VARIATION; SHORTWAVE ANGLE AND SLOPE INDEX;

INDIA;

EID: 84890130469     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-013-3371-4     Document Type: Erratum

References (23)

1. Bannari, A., Morin, D., & Bonn, F. (1995). A review of vegetation indices. Remote Sensing Reviews, 13, 95-120.
2. Baret, F., & Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 35, 161-173.
3. Das, P. K., Murthy, C. S., Seshasai, M. V. R. (2013). Monitoring of seasonal dryness/wetness conditions using Shortwave Angle Slope Index for early season agricultural drought assessment. Geomatics, Natural Hazards and Risk. doi: 10.1080/19475705.2013.803267.
4. Fensholt, R., & Sandholt, I. (2003). Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. Remote Sensing of Environment, 87, 111-121.
5. Gao, B. (1996). NDWI - a normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58, 257-266.
6. Khanna, S., Palacios-Orueta, A., Whiting, M. L., Ustin, S. L., Riano, D., & Litago, J. (2007). Development of angle index for soil moisture estimation, dry matter detection and land-cover discrimination. Remote Sensing of Environment, 109, 154-165.
7. Lingli, W., Qu, J., John, H., Xianjun, Z., & Qingping. (2008). Sensitivity studies of the moisture effects on MODIS SWIR reflectance and vegetation water studies. International Journal of Remote Sensing, 29, 7065-7075.
8. Liu, S., Chaswick, O.A., Roberts, D.A., Still, C. J. (2011). Relationships between GPP, satellite measures of greenness and canopy water content with soil moisture in Mediterranean-climate grassland and oak savanna. Applied and Environmental Soil Science, 1-14.
9. Mishra, P. K. (2005). Guidelines for rainfed production system and management. In K. D. Sharma & K. S. Ramasastri (Eds.), Drought management (pp. 387-398). India: Allied Publishers Private Limited.
10. Murthy, C S., Abid, S. M., Das, P. K., SeshaSai, M. V. R. (2012). Tracking surface wetness and rice transplantation using Shortwave Angle Slope Index (SASI), Proc. ISRS Symposium, 6-8 December, 2012, New Delhi.
11. Murthy, C. S., Chakraborty, A. M. V. R., & Roy, P. S. (2011). Spatio-temporal analysis of the droughts of kharif 2009 and 2002. Current Science, 100, 1786-1788.
12. Murthy, C. S., Sesha Sai, M. V. R., Bhanuja Kumari, V., & Roy, P. S. (2007). Agricultural drought assessment at disaggregated level using AWiFS/WiFS data of Indian remote sensing satellites. Geocarto International, 22, 127-140.
13. Palacios-Orueta, A., Khanna, S., Litago, J., Whiting, S., Ustin, L. (2006). Assessment of NDVI and NDWI spectral indices using MODIS time series analysis and development of a new spectral index based on MODIS shortwave infrared bands, Proceedings of the 1st international conference of remote sensing and geoinformation processing Trier, (207-209), Germany, http://ubt.opus.hbz-nrw.de/volltexte/2006/362/pdf/03-rgldd-session2.pdf.
14. Pan, X., Satoshi, U., Yin, L., Akira, H., & Bo, S. (2010). Discriminating different landuse types by using multitemporal NDXI in a rice planting area. International Journal of Remote Sensing, 31, 585-596.
15. Panse, V. G., & Sukhatme, P. V. (1989). Statistical methods for agricultural workers (p. 359). New Delhi: ICAR.
16. Samra, J.S. (2006). Droughts, risks, insurance and management assessment in India. In J.S. Samra, Gurbachan Singh & J.C. Dagar (Eds.), Drought management strategies in India (pp. 1-22), New Delhi: ICAR.
17. Serrano, L., Ustin, S. L., Roberts, D. A., Gamon, J. A., & Peñuelas, J. (2000). Deriving water content of chaparral vegetation from AVIRIS data. Remote Sensing of Environment, 74, 570-581.
18. Seth, S.M. (1998). Drought characterisation in sub-humid climatic regions. CS(AR)-13/98-99 Jalvigyan Bhawan, Roorkee: National Institute of Hydrology.
19. Thenkabail, P. S., Gamage, M.S.D.N., Smakhtin, V.U. (2004). The use of remote sensing data for drought assessment and monitoring in Southwest Asia, International Water Management Institute (IWMI) Research Report no.85, Sri Lanka.
20. Tucker, C. J., & Chowdhary, B. J. (1987). Satellite remote sensing of drought conditions. Remote Sensing of Environment, 23, 243-251.
21. White, A. M., & Nemani, R. R. (2006). Real-time monitoring and short term forecasting of land surface phenology. Remote Sensing of Environment, 104, 43-49.
22. Xiao, X., Boles, S., Liu, J., Zhuang, D., Frolking, S., & Li, C. (2005). Mapping paddy rice agriculture in southern China using multi-temporal MODIS images. Remote Sensing of Environment, 95, 480-492.
23. Zarco-Tejada, P. J., Rueda, C. A., & Ustin, S. L. (2003). Water content estimation in vegetation with MODIS reflectance data and model inversion methods. Remote Sensing of Environment, 85, 109-124.