Niger Delta Nypa Palm Extent 2015-2020

Published: 29 June 2022| Version 1 | DOI: 10.17632/n5x9dnhyby.1
Contributors:
Abigail Barenblitt,
Lola Fatoyinbo,
Nathan Thomas,
Atticus Stovall,
Celio de Sousa,
Chukwuebuka Nwobi

Description

These data are associated with an article submitted to the Journal of Remote Sensing (in review). In this study, the Sentinel 1 SAR, Sentinel 2 MSI, and ALOS 2 PALSAR 2 archives were used in Google Earth Engine to quantify the change in extent of invasive Nypa Palm in the Niger Delta over a period from 2015-2020. Areas of Nypa Palm were identified using Random Forest Classification models and a final model relying on Sentinel 1 SAR was produced for 2015 and 2020. Details regarding methods and Earth Engine code can be found in the manuscript. File Description: Classified_S1SAR_2015_NEWTRAINING_500Trees_4VarsTDX_Feb2022.tif: Landcover Classification within Study Area in 2015. Resolution: 10m. Band: Class_mode 1 = Nypa Palm 4 = Water 5 = Mangrove Classified_S1SAR_2020_NEWTRAINING_500Trees_4Vars_TDX_Feb2022.tif: Landcover Classification within Study Area in 2020. Resolution: 10m. Band: Class_mode 1 = Nypa Palm 4 = Water 5 = Mangrove ChangeDetection2015_2020Nigeria_Feb2022.tif: Landcover change type between 2015-2020. Resolution: 10m. Band: remapped 6 = No Change Nypa 7 = Nypa to Water 8 = Nypa to Mangrove 12 = Water to Nypa 14 = No Change Water 16 = Water to Mangroves 18 = Mangrove to Nypa 21 = Mangrove to Water 24 = No Change Mangrove Classified_S1SAR_2015_Confidence_Feb2022_NYPA.tif: Confidence of Nypa Classification on a per-pixel level in 2015. Resolution: 10m. Band: confidence (0-1) Classified_S1SAR_2015_Confidence_Feb2022_MANG.tif: Confidence of Mangrove Classification on a per-pixel level in 2015. Resolution: 10m. Band: confidence (0-1) Classified_S1SAR_2020_Confidence_Feb2022_NYPA.tif: Confidence of Nypa Classification on a per-pixel level in 2020. Resolution: 10m. Band: confidence (0-1) Classified_S1SAR_2020_Confidence_Feb2022_MANG.tif: Confidence of Mangrove Classification on a per-pixel level in 2020. Resolution: 10m. Band: confidence (0-1) Abigail Barenblitt; Lola Fatoyinbo; Nathan Thomas; Atticus Stovall; Celio de Sousa; Chukwuebuka Nwobi (in review). Invasion in the Niger Delta: Remote sensing of mangrove conversion to invasive Nypa fruticans from 2015-2020. Journal of Remote Sensing.

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Institutions

University of Maryland at College Park, NASA

Categories

Remote Sensing, Geographic Information Systems

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