Lancaster EPrints
metadata only
Spectral indices for estimating photosynthethic pigment concentrations : a test using senescent tree leaves.
The possibility of estimating the concentration of individual photosynthetic pigments within vegetation from reflectance spectra offers great promise for the use of remote sensing to assess physiological status, species type and productivity. This study evaluates a number of spectral indices for est
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Hyperspectral remote sensing of plant pigments.#1039405
- Toward elucidating accessory pigments in intense phytoplankton blooms using hyperspectral satellite remote sensing in support of harmful algal bloom (HAB) monitoring#144958
- Remote sensing indices for grassland monitoring : integrating multi-sensor data and machine learning for ecological assessment of grassland state and dynamics / Ann-Kathrin Holtgrave ; Gutachter: Birgit Kleinschmit, Hannes Feilhauer ; Betreuer: Birgit Kleinschmit#669323
- Deep Evidential Regression for Sparse Forest Height Estimation from Multimodal Satellite Imagery#1109119
- A global systematic review of the remote sensing vegetation indices#291857
Record · ID 1039456
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive