Zobrazeno 1 - 10
of 31
pro vyhledávání: '"M. P. Oza"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 353-360 (2018)
The crop suitability is the process of assessing the appropriateness or ability of a given type of land on the basis of growing conditions of a particular crop. The study focused on the crop suitability analysis of cereal crops for their production i
Externí odkaz:
https://doaj.org/article/16de482e0c40489f9d9d5d9cf466e2a1
Publikováno v:
Journal of Agrometeorology, Vol 7, Iss 1 (2005)
Externí odkaz:
https://doaj.org/article/94cd37a8c7e54c1ea52351f008514e53
Publikováno v:
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL. 17
Today, satellite imagery is being utilized to help repair and restore societal issues caused by habitats for a variety of scientific studies. Water resource search, environmental protection simulations, meteorological analysis, and soil class analysi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec7618f8614f98e3e1b7db514fc6415
https://doi.org/10.15837/ijccc.2022.5.4485
https://doi.org/10.15837/ijccc.2022.5.4485
Autor:
Ujjwal K. Gupta, M. P. Oza
Publikováno v:
Journal of the Indian Society of Remote Sensing. 49:2187-2198
Land degradation is one of the major threats faced globally, affecting arid and other dryland areas severely. In such areas, biomass productivity is a function of precipitation to a large extent. This paper discusses methodology developed to generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04bcdaa771f0ad1c13aefd62108f9022
https://doi.org/10.1007/s12524-021-01381-y
https://doi.org/10.1007/s12524-021-01381-y
Autor:
Navalgund, R. R., Parihar, J. S., Venkataratnam, L., Rao, M. V. Krishna, Panigrahy, S., Chakraborty, M. C., Hebbar, K. R., Sharma, M. P. Oza, S. A., Bhagia, N., Dadhwal, V. K.
Publikováno v:
Current Science, 1996 Apr 01. 70(7), 568-574.
Externí odkaz:
https://www.jstor.org/stable/24097376
Publikováno v:
SDS
Deep neural networks can be difficult to train and require extensive fine tuning for hyper-parameter optimization. In this paper a generalized deep convolutional hybrid network model is proposed, named Reception that not only can tackle problem of so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::553886091f0bda060bda90fa464b8542
https://doi.org/10.1109/sds.2019.00012
https://doi.org/10.1109/sds.2019.00012
Publikováno v:
International Journal of Image and Graphics. 21:2150014
The satellite image classification plays a vital role in remote sensing for analyzing the images and recognizing the patterns. Supervised classification is one of the methods in which pixels of an image are grouped based on training samples. The unce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa241b39f2f64fafbeddee5827cc55cb
https://doi.org/10.1142/s0219467821500145
https://doi.org/10.1142/s0219467821500145
Publikováno v:
Journal of Spatial Science. :1-23
Agriculture productivity at spatio-temporal scales can be modelled through quantification of biophysical parameters like LAI (leaf area index) and radiation parameters from satellites. The Indian geostationary satellite INSAT 3A CCD was used to retri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad582dcba1442b602b295b5fc028434c
https://doi.org/10.1080/14498596.2016.1220872
https://doi.org/10.1080/14498596.2016.1220872
Publikováno v:
Journal of Earth System Science. 125:1089-1102
The present study is mainly concerned with detecting the trend of run-off over the mainland of India, during a time period of 35 years, from 1971–2005 (May–October). Rainfall, soil texture, land cover types, slope, etc., were processed and run-of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80b88fb0d8c1a8318b2845e7874c0605
https://doi.org/10.1007/s12040-016-0720-z
https://doi.org/10.1007/s12040-016-0720-z
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-5, Pp 353-360 (2018)
The crop suitability is the process of assessing the appropriateness or ability of a given type of land on the basis of growing conditions of a particular crop. The study focused on the crop suitability analysis of cereal crops for their production i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6fe066c8d6e80d7cad26e69e4a0deab
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5/353/2018/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5/353/2018/
