Remote Sensing Techniques for Land use Land Cover (Lulc), Crop Acreage and Yield Assessment of Pigeonpea in Vijayapura TalukM. (Record no. 70790)

MARC details
000 -LEADER
fixed length control field 02538nam a2200217 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250204115138.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250204b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Transcribing agency UAS Dharwad
041 ## - LANGUAGE CODE
Language code English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 630
Author Label PAT
100 ## - MAIN ENTRY--PERSONAL NAME
Name of Author Patil Shankar Goud C.
245 ## - TITLE STATEMENT
Title Remote Sensing Techniques for Land use Land Cover (Lulc), Crop Acreage and Yield Assessment of Pigeonpea in Vijayapura TalukM.
250 ## - EDITION STATEMENT
Edition Statement M.Sc. (Agri)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publisher Dharwad
Name of Publisher University of Agricultural Sciences
Publication Year 2024
300 ## - PHYSICAL DESCRIPTION
Book Pages 168
Book Size 32 Cms
520 ## - SUMMARY, ETC.
Abstract. ABSTRACT<br/><br/> Land use land cover (LULC), crop inventory for acreage estimation and yield assessment of pigeonpea in Vijayapura taluk was carried out by selecting 10 ground truth sites (GTS) for each land use class, major crops and 25 for pigeonpea yield estimation using Sentinel-2 satellite images accessed different dates from May to December, 2023. The LULC and crop acreage estimation were done by running the supervised classification with maximum likelihood algorithm using QGIS software. The yield estimation was done by developing regression models using the relationship between crop cut yield, normalized difference vegetation index and leaf area index of pigeonpea from selected ground truth sites. The comparative LULC analysis showed bare land as dominant (67.65%), vegetation (25.05%), built-ups (6.67%), and water bodies constituting 0.63 per cent in summer 2023 in the study area. While in rabi 2023, vegetation occupied higher area (69.65%), bare land reduced to 22.16 per cent, built ups showing slightly increased area (7.52%), with negligible increase in area under waterbodies (0.66%), signifying the importance of rainfall for agriculture in the study area. Crop inventory and acreage estimates of major crops was found to be 35173, 1957, 3802, 8333, 5472 and 9293 ha under pigeonpea, grapes, sugarcane, sorghum, chickpea and wheat, respectively, showing relative deviation of 5.06, -23.45, 23.98, 13.41, -6.10 and 56.81 per cent, respectively comparing the Karnataka State Department of Agriculture (KSDA) data. The yield estimated by running regression model from the NDVI values of selected sites by digitization and extraction of values from the software during the peak vegetative stage of pigeonpea and LAI was 843 kg ha-1 showing relative deviation of -0.24 and -16.96 per cent, with crop cut and KSDA yield of the study area.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Subject Agronomy
700 ## - ADDED ENTRY--PERSONAL NAME
2nd Author, 3rd Author Patil S. B.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha Item type THESIS
Edition M.Sc. (Agri)
Classification part 630
Call number prefix PAT
Suppress in OPAC No
942 ## - ADDED ENTRY ELEMENTS (KOHA)
-- 630_000000000000000
999 ## -
-- 70790
-- 70790
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Dewey Decimal Classification     University of Agricultural Sciences, Dharwad University of Agricultural Sciences, Dharwad 28/11/2024   630/PAT T14024 04/02/2025 1 04/02/2025 THESIS