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Error simulations of uncorrected NDVI and DCVI during remote sensing measurements from UAS

100%
Chiliński M. T., Ostrowski M.
Miscellanea Geographica. Regional Studies on Development
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2014
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vol. 18
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issue 2
35-45
EN
Remote sensing from unmanned aerial systems (UAS) has been gaining popularity in the last few years. In the field of vegetation mapping, digital cameras converted to calculate vegetation index (DCVI) are one of the most popular sensors. This paper presents simulations using a radiative transfer model (libRadtran) of DCVI and NDVI results in an environment of possible UAS flight scenarios. The analysis of the results is focused on the comparison of atmosphere influence on both indices. The results revealed uncertainties in uncorrected DCVI measurements up to 25% at the altitude of 5 km, 5% at 1 km and around 1% at 0.15 km, which suggests that DCVI can be widely used on small UAS operating below 0.2 km.
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STUDY TO DEVELOP A CO-RELATIONSHIP BETWEEN WATER QUALITY AND LAND USE PATTERN AS INDEX OF RIVERINE WETLAND WITH STATISTICAL APPROACH

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Roy M. B., Kumar A., Ghosh A., Roy P. K.
Quaestiones Geographicae
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2020
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vol. 39
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issue 1
EN
This investigation additionally recognizes partner cooperation issue and furthermore to moderate the real issue through subjective and quantitative appraisal of riverine wetland. Considering a floodplain wetland in rustic West Bengal, the concentration was extended to perceive the type of wetland capacities as per the idea of individuals’ contribution by group examination. Be that as it may, NDVI was connected to ponder the total weeds condition into the wetland to decide the connection between Water Quality Index (WQI) with Normalized Difference Vegatation Index (NDVI) and its impact on valuation. In ANOVA, which is computed by MINITAB programming, centrality level was lower than 0.05 for each case.
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