Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi

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Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi

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Long-term drought assessment of Northern Central African continent using Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi. Outline. Motivation Introduction Drought and indices - PowerPoint PPT Presentation

Transcript of Course: CSI-655 Date: May 16, 2011 Taeyoung (Jason) Choi

Page 1: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Long-term drought assessment of Northern Central African continent using Normalized

Difference Vegetation Index (NDVI) and Land Surface Temperature (LST)

Course: CSI-655Date: May 16, 2011

Taeyoung (Jason) Choi

Page 2: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Outline• Motivation• Introduction

– Drought and indices– LST-NDVI combined index

• Data sets and Methodology– About MODIS– LST product– NDVI product– Methodology

• Characteristics of Regions of Interest (ROI)• Results

– NDVI Responses – LST Responses – LST-NDVI Responses

• Summary

Page 3: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Motivation

• Africa continent is facing climate changes.– Drought is the main problem.

• Drought condition could be detected by remotely sensed data especially from MODIS.

• This study is focused on drought conditions from Terra MODIS collections over a decade.– In selected locations in Northern Central Africa– Near ‘Sahel’ region

Page 4: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Introduction

• Drought – prolonged insufficient in reasonable water supply

beyond the range of normal human activities.• Drought monitored by metrological

precipitation record. – Data sets were not uniformly distributed in time

and space. • Remotely sensed data sets became a

promising source.

Page 5: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Introduction

• Remotely Sensed data sets as a drought index.– Normalize Difference Vegetation Index (NDVI)

– Land Surface Temperature (LST) • from the thermal infrared signature received by

satellite sensors• widely implemented as a proxy for vegetation condition

and combined with NDVI

RNIR

RNIRNDVI

Page 6: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Introduction

• Remotely Sensed data sets as a drought index.– NDVI-LST combined relationship– ‘Universal triangle’ relationship

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Data sets and Methodology

• About Moderate Resolution Imaging Spectroradiometer (MODIS)

Terra (EOS-AM):Launched on 12/18/99First light on 02/24/00

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Data sets and Methodology• MODIS Land Products– Vegetation indices product MOD13 (130 scenes) – LST measures land surface temperature and

emissivity (MOD11 130 scenes)

Page 9: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Data sets and Methodology• Methodology– NDVI monitoring– LST monitoring– NDVI-LST relationship monitoring• Slopes and y-crossing points.

Page 10: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Regions of Interest (ROI)

• ROIs are located around the border between Chad and Central Africa Republic

• Size of 2 degrees by 2 degrees

• Latitudes of 8 degrees, 10 degrees and 12 degrees with a fixed longitude of 20 degrees

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Regions of Interest (ROI)• These ROIs are perpendicular to the direction of

‘Sahel’ region.– Between Sahara desert from the north and humid forest

region.– Environmentally very sensitive.

[11] World Resources Institute (Lead Author);Leszek Bledzki (Topic Editor) "Ecosystems and Human Well-being: Desertification Synthesis: Key Questions on Desertification in the Millennium Ecosystem Assessment". In: Encyclopedia of Earth. Eds. Cutler J. Cleveland, Retrieved April 28, 2011

Page 12: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Results• NDVI and LST from 2000 to 2010

Page 13: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

Results• NVDI-LST responses

Page 14: Course: CSI-655 Date: May 16, 2011 Taeyoung  (Jason)  Choi

• Maximum temperature drop in May from LST.

• Dry season: decreasing slope & stable Temp.

• Wet season: increasing slope & decreasing Temp.

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Summary

• 11 years of monthly MODIS NDVI and LST data sets were used to detect central Africa drought condition.

• Dry Season– Decreasing slope with stable temperature– Getting drier

• Wet Season– Increasing slope with temperature drop– Getting more humid

• More extreme events are expected in the future. • The NDVI-LST relationship provided much stable and

comprehensive information on drought conditions.

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Backup Slides

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Results (NDVI)

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Results (LST)

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Results (NDVI-LST : Slope)

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Results (NDVI-LST : Y-crossing point)