Lammert Kooistra

Ecology · 2012–2021

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 24 citations into it; #2,885 of 10,717 by trust here, #4,893 by citations
• Environmental Engineering — 12 citations into it; #2,537 of 5,479 by trust here, #2,691 by citations
• Global and Planetary Change — 9 citations into it; #2,862 of 10,225 by trust here, #4,099 by citations
• Atmospheric Science — 6 citations into it

Whom Lammert Kooistra trusts overall

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

1. Jan G. P. W. Clevers
2. Anatoly A. Gitelson

Who trusts Lammert Kooistra overall

1. Jan G. P. W. Clevers
2. Phan Thanh Noi
3. Jochem Verrelst
4. M. Schlemmer
5. Clement Atzberger
6. Anatoly A. Gitelson

Papers from Lammert Kooistra's perspective

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

1. Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
2. Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and -3 (International Journal of Applied Earth Observation and Geoinformation)
3. Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages
4. A red-edge spectral index for remote sensing estimation of green LAI over agroecosystems
5. I and J
6. SENTINEL-2 SEN2COR: L2A Processor for Users
7. Using crop reflectance to determine sidedress N rate in potato saves N and maintains yield
8. Machine learning - a probabilistic perspective
9. Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle (IEEE Transactions on Geoscience and Remote Sensing)
10. Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)

Their papers

• Predicting within-field soybean yield variability by coupling Sentinel-2 leaf area index with a crop growth model (2021) — 50 citations
• Effects of external factors on soil reflectance measured on-the-go and assessment of potential spectral correction through orthogonalisation and standardisation procedures (2018) — 48 citations
• Using Sentinel-2 Data for Retrieving LAI and Leaf and Canopy Chlorophyll Content of a Potato Crop (2017) — 312 citations
• Review of yield gap explaining factors and opportunities for alternative data collection approaches (2017) — 130 citations
• Generation of Spectral–Temporal Response Surfaces by Combining Multispectral Satellite and Hyperspectral UAV Imagery for Precision Agriculture Applications (2015) — 329 citations
• Using Hyperspectral Remote Sensing Data for Retrieving Canopy Chlorophyll and Nitrogen Content (2012) — 321 citations