Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data
Savannas are widespread global biomes covering ~20% of terrestrial ecosystems on all continents except Antarctica. These ecosystems play a critical role in regulating terrestrial carbon cycle, ecosystem productivity, and the hydrological cycle and contribute to human livelihoods and biodiversity con...
Main Authors: | , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
Data Archiving and Networked Services (DANS)
2017
|
Subjects: | |
Online Access: | https://doi.org/10.5061/dryad.v5s0j |
id |
fttriple:oai:gotriple.eu:50|dedup_wf_001::a7615b9ba401185043a17ad730659a86 |
---|---|
record_format |
openpolar |
spelling |
fttriple:oai:gotriple.eu:50|dedup_wf_001::a7615b9ba401185043a17ad730659a86 2023-05-15T13:43:38+02:00 Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data Kahiu, Milkah N Hanan, Niall P Kahiu, M. N. Hanan, N. P. 2017-01-01 https://doi.org/10.5061/dryad.v5s0j undefined unknown Data Archiving and Networked Services (DANS) http://dx.doi.org/10.5061/dryad.v5s0j https://dx.doi.org/10.5061/dryad.v5s0j lic_creative-commons oai:easy.dans.knaw.nl:easy-dataset:102517 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:102517 10.5061/dryad.v5s0j 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f Life sciences medicine and health care Herbaceous Leaf Area Index Phenology Savanna Woody Africa geo envir Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2017 fttriple https://doi.org/10.5061/dryad.v5s0j 2023-01-22T16:50:44Z Savannas are widespread global biomes covering ~20% of terrestrial ecosystems on all continents except Antarctica. These ecosystems play a critical role in regulating terrestrial carbon cycle, ecosystem productivity, and the hydrological cycle and contribute to human livelihoods and biodiversity conservation. Despite the importance of savannas in ecosystem processes and human well-being, the presence of mixed woody and herbaceous components at scales much fin-er than most medium and coarse resolution satellite imagery poses significant challenges to their effective representation in remote sensing and modeling of vegetation dynamics. Although pre-vious studies have attempted to separate woody and herbaceous components, the focus on greenness indices and fractional cover provides little insight into spatio-temporal variability in woody and herbaceous vegetation structure, in particular, leaf area index (LAI). This paper pre-sents a method to partition 1km spatial resolution Moderate Resolution Imaging Spectroradiome-ter (MODIS) aggregate green leaf area index (LAIA) from 2003-2015, into separate woody (LAIW) and herbaceous (LAIH) constituents in both drought seasonal savannas and moist tropical forests of Sub-Saharan Africa (SSA). In our analysis, we use an allometric relationship describing the variation in peak within-canopy woody LAI of dominant tree species (LAIWpinc) across gradi-ents in mean annual precipitation (MAP), coupled with independent estimates of woody canopy cover (τw), to constrain seasonally changing LAIW. We present the LAI partitioning approach and highlight the broad spatial and temporal patterns of woody and herbaceous LAI across SSA. The long-term average 8-day phenologies of woody and herbaceous LAI (averaged across 2003-2015) are available for evaluation, research and application purposes. MCD15A2.2003_2015.Africa.V02.Animation.gifData S2: LAI animation for years 2003 to 2015 contains aggregate, woody and partitioned LAI mosaicked for Sub-Saharan Africa, presented in gif format. The ... Dataset Antarc* Antarctica Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care Herbaceous Leaf Area Index Phenology Savanna Woody Africa geo envir |
spellingShingle |
Life sciences medicine and health care Herbaceous Leaf Area Index Phenology Savanna Woody Africa geo envir Kahiu, Milkah N Hanan, Niall P Kahiu, M. N. Hanan, N. P. Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data |
topic_facet |
Life sciences medicine and health care Herbaceous Leaf Area Index Phenology Savanna Woody Africa geo envir |
description |
Savannas are widespread global biomes covering ~20% of terrestrial ecosystems on all continents except Antarctica. These ecosystems play a critical role in regulating terrestrial carbon cycle, ecosystem productivity, and the hydrological cycle and contribute to human livelihoods and biodiversity conservation. Despite the importance of savannas in ecosystem processes and human well-being, the presence of mixed woody and herbaceous components at scales much fin-er than most medium and coarse resolution satellite imagery poses significant challenges to their effective representation in remote sensing and modeling of vegetation dynamics. Although pre-vious studies have attempted to separate woody and herbaceous components, the focus on greenness indices and fractional cover provides little insight into spatio-temporal variability in woody and herbaceous vegetation structure, in particular, leaf area index (LAI). This paper pre-sents a method to partition 1km spatial resolution Moderate Resolution Imaging Spectroradiome-ter (MODIS) aggregate green leaf area index (LAIA) from 2003-2015, into separate woody (LAIW) and herbaceous (LAIH) constituents in both drought seasonal savannas and moist tropical forests of Sub-Saharan Africa (SSA). In our analysis, we use an allometric relationship describing the variation in peak within-canopy woody LAI of dominant tree species (LAIWpinc) across gradi-ents in mean annual precipitation (MAP), coupled with independent estimates of woody canopy cover (τw), to constrain seasonally changing LAIW. We present the LAI partitioning approach and highlight the broad spatial and temporal patterns of woody and herbaceous LAI across SSA. The long-term average 8-day phenologies of woody and herbaceous LAI (averaged across 2003-2015) are available for evaluation, research and application purposes. MCD15A2.2003_2015.Africa.V02.Animation.gifData S2: LAI animation for years 2003 to 2015 contains aggregate, woody and partitioned LAI mosaicked for Sub-Saharan Africa, presented in gif format. The ... |
format |
Dataset |
author |
Kahiu, Milkah N Hanan, Niall P Kahiu, M. N. Hanan, N. P. |
author_facet |
Kahiu, Milkah N Hanan, Niall P Kahiu, M. N. Hanan, N. P. |
author_sort |
Kahiu, Milkah N |
title |
Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data |
title_short |
Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data |
title_full |
Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data |
title_fullStr |
Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data |
title_full_unstemmed |
Data from: Estimation of woody and herbaceous leaf area index in Sub-Saharan Africa using MODIS data |
title_sort |
data from: estimation of woody and herbaceous leaf area index in sub-saharan africa using modis data |
publisher |
Data Archiving and Networked Services (DANS) |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.v5s0j |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
oai:easy.dans.knaw.nl:easy-dataset:102517 oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:102517 10.5061/dryad.v5s0j 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 re3data_____::r3d100000044 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f |
op_relation |
http://dx.doi.org/10.5061/dryad.v5s0j https://dx.doi.org/10.5061/dryad.v5s0j |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.v5s0j |
_version_ |
1766191460310319104 |