Kun Jia

2011–2017

A researcher in the Science corpus: 4 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Kun Jia trusts overall

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

1. Paul M. Mather
2. Prasad S. Thenkabail
3. Chaoyang Wu
4. Chaichoke Vaiphasa
5. Giles M. Foody
6. Ronald B. Smith
7. Anatoly A. Gitelson
8. Andrew K. Skidmore

Papers from Kun Jia's perspective

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

1. The Nature of Statistical Learning Theory
2. Pattern classification and scene analysis
3. Characterizing canopy biochemistry from imaging spectroscopy and its application to ecosystem studies
4. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics
5. Estimating the Dimension of a Model
6. Estimating foliage nitrogen concentration from HYMAP data using continuum, removal analysis
7. Retrieval of foliar information about plant pigment systems from high resolution spectroscopy
8. A new look at the statistical model identification
9. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
10. Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model

Their papers

• Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms. (2017) — 131 citations
• Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data (2016) — 206 citations
• Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations (2014) — 219 citations
• Vegetation classification method with biochemical composition estimated from remote sensing data (2011) — 50 citations