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Estimation of NDVI by Regression analysis using ArcGIS Software - A simple Case study 

Carto Geospatial Solutions
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This video briefly elaborates on the most sought after Vegetation Index - The Normalized Difference Vegetation Index and it's relevance in real world scenarios. Additionally, a rudimentary case study was discussed where the index is estimated or forecasted using regression analysis.
#arcmap #ndvi #gis #remotesensing #tutorial #regressionanalysis #scatterplot #arcgistutorial

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28 авг 2024

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Комментарии : 12   
@juliorobles5751
@juliorobles5751 10 месяцев назад
Excelente video….
@alankrithamaheshwaran1513
@alankrithamaheshwaran1513 Месяц назад
Can this be performed on a time-series analysis where the datasets are not exactly around the same months across the chosen years? Like if the seasons are different, will the prediction still be accurate?
@cartogeospatialsolutions3890
@cartogeospatialsolutions3890 Месяц назад
Not as accurate as it should be, though you can predict the general trend, it's advised to make sure your data is temporally matched first!
@naphtalijr.1533
@naphtalijr.1533 5 месяцев назад
My attribute table has -9999 values? What might be the problem
@raghavmsj8226
@raghavmsj8226 4 месяца назад
It means that your pixel has no data in it, try changing the location of your point
@Shabbir2749
@Shabbir2749 11 месяцев назад
Can you please make a video on how to collect data for NDVI? I do not have any Idea to collect data for NDVI
@cartogeospatialsolutions3890
@cartogeospatialsolutions3890 11 месяцев назад
Sure, we'll give it a thought. Long story short, you just need to download NIR and Red bands for your aoi from a data provider like USGS
@annleticia6171
@annleticia6171 7 месяцев назад
is necessary to add forests and if yes how do i get for a full study area
@cartogeospatialsolutions3890
@cartogeospatialsolutions3890 7 месяцев назад
This is a case study to estimate vegetation density in forests, that's why I've used it. Yes of course you can download forest cover of any area from bbbike extracts
@hasinipramodya-zw8bs
@hasinipramodya-zw8bs 3 месяца назад
This equation ,how to interpreted ? if have some reference plz give a link
@cartogeospatialsolutions3890
@cartogeospatialsolutions3890 3 месяца назад
It's a simple linear regression equation (y = a +bx) used to find a dependent variable's (y) value from an independent variable (x). There are lots of references online that describes this equation in depth
@hasinipramodya-zw8bs
@hasinipramodya-zw8bs 2 месяца назад
Thank you so much❤
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