Final Flashcards

(50 cards)

1
Q

What does satellite data offer?

A

cost-effective, timely, transparent, information on crop type, plant health, stress, and productivity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What are early forecasts?

A

Critical

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Crop Monitor for AMIS

A

develop transparent, timely, crop condition assessments in primary agricultural production areas highlighting potential hotspots of stress/ bumper crops

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

NASA’s Earth Observation for Food Security and Agriculture Consortium

A

increase food security awareness and understand of the applications of NASA’s and other satellite data products by users from a wide range of sectors

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Major tasks of (4)

A

crop state assessment
crop yield assessment/ forecasting
crop type mapping
crop area estimation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Biophysical Parameters

A

total canopy chlorophyll, vegetation fraction, fraction of photosynthetically active radiation absorbed by photosyhntetically active vegetation, green leaf area index, gross primary production

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

information retrieval

A

spatial: courier transformation
spectral: spectral curvatures
Temporal: change detection, temporal profiles

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Spectral curve of plants

A

typical vegetation reflectance curve with dominant factors controlling leaf reflectance

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

spectral curve of plants:PROSPECT

A

radiative transfer model that represents the optical properties of plant leaves from 400nm to 2500nm

simulates spectra based on input parameters of the plants

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

inverse problem

A

to estimate properties of the plants based on the given spectra

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Chlorophyll content

A

relates closely to the crop primary production and is a good indicator of the physiological status and the carbon sequestration potential of crops, it is also a good predictor of crop yield

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Vegetation fraction

A

defined as the percentage or fraction of occupation occupation of vegetation canopy in a given ground area in vertical projection

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Leaf Area Index

A

the ratio of the one-sided green leaf area to the ground area underneath

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Fraction of Absorbed Photosynthetically Active Radiation

A

influences vegetation production

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Gross Primary Production

A

vegetation productivity is the basis of all the biosphereic functions on the land surface and is simply defined as the production of organic matter through photosynthesis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Crop type mapping

A

classification of multi-temporal multi-spectral satellite images into crop-related classes

cropland vs non-cropland

training/ calibration data: ground truth

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

soil moisture

A

soil moisture is the water that is held in the space between soil particles

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

what does soil moisture depend on

A

soil properties
topography
presence/ absence of vegetation
the frequency and amount of precipitation/ irrigation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

soil moisture

A

SMAP: soil moisture Active Passive

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

What are the mapping key parameters from remote sensing?

A

Land surface albedo
downward shortwave radiation
land surface temperature

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
21
Q

What are the determine factors for remote sensing?

A

surface- reflectance, emissivity, and temperature
Atmosphere

22
Q

what are sensor characteristics?

A

Wavelength- spectral signature
view geometry- angular signature
polarization etc

23
Q

inversion problem

A

Underdetermined
Ill-posed/ improperly posed problem

24
Q

Albedo

A

ratio between reflected solar radiation and incident solar radiation

25
What direction in albedo in?
all directions and it is broadbanded
26
What direction is RS signature in?
One direction Narrow banded
27
BRDF what does it stand for?
Bi-directional Reflectance Distribution Function
28
What is BRDF
Ratio of incremental radiance, leaving surface through an infinitesimal solid angle in direction to incremental irradiance from illumination direction
29
How are BDRF and albedo related?
Albedo depends on BRDF and incident angle
30
BRDF modeling in...
radiative transfer models: physical explanation canopy/ soil parameters empirical models empirical models: kernel-driven models
31
Albedo Retrieval approaches
BDRF fittings, optimization, direct estimation, and BRDF database
32
What are needed for BDRF fittings?
Multiangular RS data: MISR, POLDER 3 observations temporal composite approach- assume no surface change
33
to measure BRDF via RS you need?
multiple cameras on same platform ex: multi-angle imaging spectroRadiometer broad swath with large overlap so multiple orbits build up multiple view angles Pointing capability: offers an oblique viewing capacity, the viewing angle is adjustable through 27 degrees off vertical
34
Issues of BRDF fitting approach
error propagation unable to capture rapidly changing albedo large errors over snow albedo
35
Unique features of NOAAs VIIRS land surface albedo product
high accuracy, gap-free, high temporal resolution, daily mean value
36
Incident Solar Radiation
aka insolation 300nm - 3000nm drives longwave emission, latent and sensible heat fluxes one of the key parameters in earth surface radiation budget
37
Photosynthetically active radiation
400nm-700nm an essential input for most of the ecosystem models important for quantifying earth's carbon cycle
38
Radiation transfer modeling
accuracy dependent on quality of input data requiring inputs of atmospheric and surface parameters computationally expensive
39
Parameterization
approximation of RT models Efficient
40
Summary of forward methods
highly accurate when high quality atmospheric input variables are available
41
Innovative LUT-based method
accurate and efficient Directly use TOA radiance data improved spatial resolution two parameterization schemes TOA radiance and Surface flux Parameters are pre-calculated from accurate MODTRAN
42
Steps of the algorithm using temporal signatures
a set of temporal observations for each pixel covert blue-band TOA radiance to "surface reflectance" using a default clear atmosphere identify a set of "clear" observations with the minimum blue-band reflectance interpolate surface reflectance of other observations interpolate surface reflectance of other observations
43
Algorithm integration
individual retrieval methods have strengths and limitations using machine learning methods to combine multiple retrieval algorithms
44
Skin temperature retrieval approaches
sea surface temperature vs. land surface temperature single channel algorithm two channel algorithm
45
q
46
qq
47
q
48
q
49
q
50
q