The DOI matches its Crossref record.
Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data
Abstract
A conceptual basis for the physics of the interaction of solar radiation with a vegetation canopy is presented, yarious factors which affect the reflectance from such a canopy are delineated. An overview of various canopy reflectance models which attempt to incorporate the physics of interaction through these factors is given. These models can be divided into four basic categories: geometrical models, turbid medium models for homogeneous canopies, hybrid (of geometrical and turbid medium) models for heterogeneous canopies, and computer simulation models. Techniques for estimating important biophysical parameters like leaf area index, leaf angle distribution, and canopy architecture, through inversion of these models are reviewed. Some directions for future research are suggested.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Zarco-Tejada, P. J., Miller, J. R., Noland, T. L., Mohammed, G. H., & Sampson, P. H. (2001) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.934080 · Cited by 722
Verhoef, W., & Bach, H. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00143-3 · Cited by 337
Classification of the forest cover of tver oblast using hyperspectral airborne imagery
Dmitriev, E. V. (2014) · Izvestiya, Atmospheric and Oceanic Physics · doi:10.1134/s0001433814090072 · Cited by 12
Metadata
- Authors
- Goel, N. S.
- Venue
- Remote Sensing Reviews
- Publisher
- Informa UK Limited
- Published
- 1988-01
- Volume
- 4
- Issue
- 1
- Pages
- 1-212
- ISSN
- 0275-7257 (ISSN-L)
- OpenAlex
- W2081179181
- Cited by
- 540
- References
- 0
- FWCI
- 16.16
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data. https://app.cochat.ai/papers/10.1080/02757258809532105
- The paper
- Goel, N. S. (1988). Models of vegetation canopy reflectance and their use in estimation of biophysical parameters from reflectance data. Remote Sensing Reviews. https://doi.org/10.1080/02757258809532105
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.