References
[1]. Albergel, W. Dorigo, R.H. Reichle, G. Balsamo, P. de Rosnay, J. Munoz-Sabater, et al. (2013). Skill and global
trend analysis of soil moisture from reanalyses and
microwave remote sensing. J. Hydrometeorol., 14(4),
1259-1277.
[2]. Brosinsky, A. Lausch, D. Doktor, C. Salbach, I. Merbach,
S. Gwillym-Margianto, et al. (2014). Analysis of spectral
vegetation signal characteristics as a function of soil
moisture conditions using hyperspectral remote sensing. J.
Indian Soc. Remote Sens., 42(2), 311-324.
[3]. Engman, E. T., & N. Chauhan. (1995). Status of
microwave soil moisture measurements with remote
sensing. Remote Sensing of the Environment, 51, 189-198.
[4]. Holzman, M. E., Rivas, R., Piccolo, M. C. (2014).
Estimating soil moisture and the relationship with crop yield
using surface temperature and vegetation index. Int. J.
Appl. Earth Obs. Geoinf., 28, 181-192.
[5]. Ismail, M., & Yacoub, R. (2012). Digital soil map using
the capability of new technology in Sugar Beet area,
Nubariya, Egypt. Egypt. J. Remote Sens. Space Sci., 15(2),
113-124.
[6]. Kanga, S., & Singh, S. K. (2017). Forest fire simulation
modeling using remote sensing & GIS. International Journal
of Advanced Research in Computer Science, 8(5), 326-
332.
[7]. Kanga, S., Sharma, L. K. Pandey, P. C., Nathawat, M. S.,
& Sharma, S. K. (2013). Forest fire modeling to evaluate
potential hazard to tourism sites using geospatial
approach. Journal of Geomatics, 7, 93-99.
[8]. Kanga, S., Sharma, L. K., Pandey, P. C., Nathawat, M. S.,
& Sinha, S. (2011). Geospatial approach for allocation of
potential tourism gradient sites in a part of Shimla District in
Himachal Pradesh, India. Journal of GIS Trends, 2(1), 1-6.
[9]. Mei, R., Wang, G. L. (2011). Impact of sea surface
temperature and soil moisture on summer precipitation in
the United States based on observational data. J.
Hydrometeorol., 12 (5), 1086-1099.
[10]. Moran, S. M., Clarke, T. R., Inoue, Y., & Vidal, A. (1994).
Estimating crop water deficit using the relationship
between surface-air temperature and Spectral Vegetation
Index. Remote Sensing of the Environment, 49, 246-263.
[11]. Nemani, R. R., & Running, S. W. (1989). Estimation of Regional Surface Resistance to Evapotranspiration from
NDVI and Thermal-IR AVHRR Data. Journal of Applied
Meteorology, 28, 276-284.
[12]. O'Neill, P. E., Chauhan, N. S., & Jackson, T. J. (1996).
Use of active and passive microwave remote sensing for
soil moisture estimation through Corn. International Journal
of Remote Sensing, 17(10), 1851-1865.
[13]. Ridler, M. E., Sandholt, I., Butts, M., Lerer, S., Mougin,
E., Timouk, F., et al. (2012). Calibrating a soil-vegetationatmosphere
transfer model with remote sensing estimates
of surface temperature and soil surface moisture in a semiarid
environment. J. Hydrol., 436, 1-12.
[14]. Singh, S. K., Kumar, V., & Kanga, S. (2017a). Land
use/land cover change dynamics and river water quality
assessment using geospatial technique: A case study of
Harmu river, Ranchi (India). International Journal of
Scientific Research in Computer Science and
Engineering, 5(3), 17-24.
[15]. Singh, S. K., Mishra, S. K., & Kanga, S. (2017b).
Delineation of groundwater potential zone using
geospatial techniques for Shimla city, Himachal Pradesh
(India). International Journal for Scientific Research and
Development, 5 (4), 225-234.
[16]. Singh, S. K., (2016). Geospatial Technique for Land
use/Land cover mapping using Multi-Temporal Satellite
Images: A case study of Samastipur District (India).
Environment & We - An International Journal of Science & Technology, 11 (4), 75-85.
[17]. Singh, S. K., & Pandey, A. C. (2014). Geomorphology
and the controls of geohydrology on waterlogging in
Gangetic Plains, North Bihar, India. Environmental Earth
Sciences, 71(4), 1561- 1579.
[18]. Singh, S. K., Chandel, V., Kumar, H., & Gupta, H.
(2014). RS & GIS based urban land use change and site
suitability analysis for future urban expansion of Parwanoo
Planning area, Solan, Himachal Pradesh (India).
International Journal of Development Research, 4(8),
1491-1503.
[19]. Srivastava, P. K., Han, D. W., Ramirez, M. R., Islam, T.
(2013). Machine learning techniques for downscaling
SMOS satellite soil moisture using MODIS land surface
temperature for hydrological application, Water Resour.
Manage., 27(8), 3127-3144.
[20]. Tucker, C. J. (1979). Red and photographic infrared
linear combinations for monitoring vegetation. Remote
Sensing of the Environment, 8, 127-150.
[21]. Wu, S. H., Jansson, P. E., Zhang, X. Y. (2011). Modelling
temperature, moisture and surface heat balance in bare
soil under seasonal frost conditions in China. Eur. J. Soil Sci.,
62(6), 780-796.
[22]. Zhao, W., Li, Z. L. (2013). Sensitivity study of soil moisture
on the temporal evolution of surface temperature over
bare surfaces. Int. J. Remote Sens., 34(9-10), 3314-3331.
