Moses Azong Cho

Ecology · 2006–2017

A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 57 citations into it; #588 of 10,717 by trust here, #1,307 by citations
• Plant Science — 29 citations into it; #484 of 8,232 by trust here, #1,845 by citations
• Global and Planetary Change — 26 citations into it; #9,702 of 10,225 by trust here, #3,211 by citations
• Environmental Engineering — 23 citations into it
• Ecological Modeling — 20 citations into it
• Analytical Chemistry — 10 citations into it; #118 of 1,254 by trust here, #111 by citations

Whom Moses Azong Cho trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andrew K. Skidmore
2. Mahesh Pal
3. Prasad S. Thenkabail
4. Guerric le Maire

Who trusts Moses Azong Cho overall

1. Roshanak Darvishzadeh
2. George Alan Blackburn
3. Andrew K. Skidmore
4. Jochem Verrelst
5. Clement Atzberger
6. Abel Ramoelo
7. Onisimo Mutanga
8. Russell Main
9. Rei Sonobe
10. Elfatih M. Abdel-Rahman

Papers from Moses Azong Cho's perspective

Ordered by how strongly the researchers Moses Azong Cho trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode.
3. Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements
4. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
5. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
6. Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression (International Journal of Applied Earth Observation and Geoinformation)
7. Retrieval of leaf area index in different vegetation types using high resolution satellite data
8. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
9. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
10. Some challenges in global land cover mapping : An assessment of agreement and accuracy in existing 1 km datasets

Their papers

• Remote sensing of species diversity using Landsat 8 spectral variables (2017) — 105 citations
• Framing the concept of satellite remote sensing essential biodiversity variables: challenges and future directions (2016) — 308 citations
• High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm (2012) — 851 citations
• An investigation into robust spectral indices for leaf chlorophyll estimation (2011) — 356 citations
• Towards red‐edge positions less sensitive to canopy biophysical parameters for leaf chlorophyll estimation using properties optique spectrales des feuilles (PROSPECT) and scattering by arbitrarily inclined leaves (SAILH) simulated data (2008) — 86 citations
• LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements (2008) — 424 citations
• Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression (2007) — 397 citations
• A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method (2006) — 555 citations