BANGLADESH - Rohingya Refugee Crisis - Cox's Bazar ... - ReliefWeb

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Jan 11, 2018 - vegetation by measuring the difference between near-infrared. (which vegetation strongly reflects) and re
BANGLADESH - Rohingya Refugee Crisis - Cox's Bazar District Environmental Impact by NDVI Analysis - January 2017 to January 2018

For Humanitarian Purposes Only Production date: 11 January 2018

NDVI Difference (2017 - 2018)

CC

AA

OO

BB

DD

UU

Kutupalong RC

Kutupalong MS

PP

EE

GG

FF QQ

VV

HH

RR WW

JJ SS

ZZ

MM

XX ZA YY

TT

Balukhali MS

II KK

LL NN

Thangkhali

Hakimpara

Jamtoli Moynarghona

NDVI 09/01/2017

NDVI 04/01/2018

The NDVI difference between January 2017 and January 2018 was calculated by substracting 2018 values to 2017 values. Results indicate vegetation growth or decline. Vegetation decline within the settled areas is due to shelter instalment. Visible and significant vegetation decline outside of the settled area is possibly due to wood cutting by households for cooking purposes. Some part of the difference can also be attributed to changes in local climatic factors (recent rainfall, soil moisture, anisotropic effects, etc.) even though images are from the same season in the year. The Normalized Difference Vegetation Index (NDVI) quantifies vegetation by measuring the difference between near-infrared (which vegetation strongly reflects) and red light (which vegetation absorbs). Due to the nature of the mathematical formula employed for NDVI calculations, resulting values always range between -1 and +1. High NDVI values (+1) indicate dense vegetation, low NDVI values (-1) generally indicate water due to its low reflectance, mid NDVI values (around 0) indicate lack of vegetation (urban areas, arid areas, etc.)

DHAKA

!

Site Zone Boundaries Shelter Footprints (28 November 2017)

India

Zone not analyzed for shelters (shelters installed prior to 2017 influx)

Bang lade sh

Main Roads

! COX'S BAZAR

My anm ar

0

375

² 750

Data sources: Site Boundaries - ISCG / OCHA ROAP Shelter Analysis November 2017 - REACH / UNOSAT NDVI Analysis: REACH Satellite Imagery: -WorldView -1 from 28 November 2017, DigitalGlobe, Source US Department of State, Humanitarian Information Unit, NextView License. -Copernicus Sentinel data level 2A for 2017 and 2018. Contains modified Copernicus Sentinel data for 2017 and 2018. Coordinate System: WGS 1984 UTM Zone 46N Projection: Transverse Mercator File: reach_bgd_map_coxsbazar_kutupalong_NDVI_05012018_a0

1,125

1,500 Meters

Note: Data, designations and boundaries contained on this map are not warranted to be error-free and do not imply acceptance by the REACH partners, associated, donors mentioned on this map.

NDVI Difference

Vegetation Decrease

0.8

No Change -0.7

Vegetation Increase

NDVI Value 1 Dense Vegetation 0 Lack of Vegetation -1 Low reflectance

(e.g. water, dark coulour shelters, etc.)

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