Page Comparison

🛰 Satellite(s)

Multiple.

📊 Monitoring element

Surface reflectance of multispectral near-infrared and red bands.

🧰 Description technique

Leaf Area Index 4 daily 500 m.

📏 Accuracy / Resolution

Resolution is 1.5 arc minutes (approximately 4.5 km).

🗺 Case study

Westerhoff et al (2018) used MODIS-based LAI estimates as one of the datasets in their recharge model to incorporate the effect of vegetation transpiration.

🧩 Also fits domain

Land.

Tip

Benefits

8-daily, free. Pre-processed to LAI with standardized, accepted guideline document.

Note

Limitations

Steep learning curve for a non-satellite expert, e.g., using the Google Earth Engine requires some investment in time.

Info

Applicability for Northland

Yes, applicable as regionwide dynamic coverage of vegetation properties for use in hydrologic modeling.

Techniques applying optical data will be limited in coverage and temporal granularity by the persistent cloud cover in the region, particularly during the winter months. Mature cloud-masking techniques are directly available for open access multispectral data (e.g. Landsat and Sentinel-2). When using commercial data, care must be taken to ensure that there is sufficiently cloud free imagery available, as cloud masking is not as mature, and ordering a large volume of imagery to ensure complete cloud free coverage between multiple observations can become cost prohibitive.

Publication references

📚 Kobayashi, T., Ono, Y., Kobayashi, H., Yang, W. (June. 2020). GCOM-C/SGLI Leaf Area Index (LAI)/ fraction of Absorbed Photosynthetically Active Radiation (fAPAR) Product Algorithm Theoretical Basis Document (Version 2).

🔗 https://suzaku.eorc.jaxa.jp/GCOM_C/data/ATBD/ver2/V2ATBD_T2B_LAI_Kobayashi_r1.pdf

📚 Westerhoff, R., White, P., Rawlinson, Z., 2018. Incorporation of Satellite Data and Uncertainty in a Nationwide Groundwater Recharge Model in New Zealand. Remote Sensing 10, 58. https://doi.org/10.3390/rs10010058.

🔗 https://www.mdpi.com/2072-4292/10/1/58/htm

Other comments or information

Dataset available from 2020 - present.

The provider has released a schedule for the reprocessing of entire backlog:

🔗 https://shikisai.jaxa.jp/repro_stat_en.html

Versions Compared

Old Version 2

New Version Current

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