Atmospheric effects on infrared multispectral sensing of sea-surface temperature from space

Atmospheric effects on infrared multispectral sensing of sea-surface temperature from spac

Estimating acreage by double sampling using LANDSAT data

Double sampling techniques employing LANDSAT data for estimating the acreage of corn and soybeans was investigated and evaluated. The evaluation was based on estimated costs and correlations between two existing procedures having differing cost/variance characteristics, and included consideration of their individual merits when coupled with a fictional 'perfect' procedure of zero bias and variance. Two features of the analysis are: (1) the simultaneous estimation of two or more crops; and (2) the imposition of linear cost constraints among two or more types of resource. A reasonably realistic operational scenario was postulated. The costs were estimated from current experience with the measurement procedures involved, and the correlations were estimated from a set of 39 LACIE-type sample segments located in the U.S. Corn Belt. For a fixed variance of the estimate, double sampling with the two existing LANDSAT measurement procedures can result in a 25% or 50% cost reduction. Double sampling which included the fictional perfect procedure results in a more cost effective combination when it is used with the lower cost/higher variance representative of the existing procedures

Procedure B: A multisegment training selection and proportion estimation procedure for processing LANDSAT agricultural data

There are no author-identified significant results in this report

Analysis of scanner data for crop inventories

There are no author-identified significant results in this report

Understanding How Agricultural Intensification Impacts Ring-Necked Pheasant Distribution and Survival in Eastern South Dakota

Historically, pheasants (Phasianus colchicus) have thrived in South Dakota in conjunction with successful land retirement programs or early farming practices through the 1950s, which created interspersions of agriculture and native landscapes that were ideal for pheasants. Recently, the Prairie Pothole ecosystem has undergone rapid agroeconomic expansion, effectively reducing ideal interspersions of native prairie and cropland into agriculturally homogeneous landscapes. Indices of pheasant abundance have suggested persistent population declines since 2008, raising concerns regarding landscape suitability. Our goal was to understand how agriculture intensification impacts pheasant ecology. The objectives were to: 1) estimate overwinter hen probability of survival, resource selection, and mortality risks associated with landscape features; 2) determine pheasant abundance as a function of remotely derived landscape composition and vegetative phenology; and 3) implement low-cost Arduino GPS trackers into our ring-necked pheasant study to improve fine-scale data collection. To accomplish these goals, we captured, collared, and tracked 100 female pheasants annually from December through March in each of three years (2016–2019). Overall, we captured 321 females and recorded 110 mortalities. We implemented low-cost GPS trackers on 35 individuals, resulting in 407 VHF locations and 1,574 GPS locations. This was a 287% increase in data density at only 23% increase in cost. We modeled weekly probability of survival and Cox proportional-hazard cause-specific mortality rates associated with landscape features. To understand pheasant distribution, we surveyed for and modeled pheasant abundance and distribution seasonally as a function of landscape composition and intraannual differences in vegetation phenology. Overwinter survival of pheasants (0.66) was highly influenced by snow depth. Pheasants using harvested fields experienced a 421% increase in risk of raptor predation. Additionally, pheasants using emergent wetlands experienced a 58% lower risk of weather mortality. Our distribution model demonstrated that proportion of Conservation Reserve Program grasslands, dormant wetlands, and 30- 40% row-crop agriculture within 1.6 km2 positively influenced pheasant abundance. Alternatively, pheasants were negatively associated with proportion of forests. Agricultural intensification is projected to continue reducing valuable concealment, grassland, and emergent wetland landscapes. As native perennial vegetation is critical to both pheasant abundance and winter survival, large-scale conservation efforts are critical to pheasant population viability. Innovative conservation solutions supplementing current farm bill policies may improve conservation adoption thereby improving pheasant abundance and overwinter survival

System for analysis of LANDSAT agricultural data: Automatic computer-assisted proportion estimation of local areas

The author has identified the following significant results. A conceptual man machine system framework was created for a large scale agricultural remote sensing system. The system is based on and can grow out of the local recognition mode of LACIE, through a gradual transition wherein computer support functions supplement and replace AI functions. Local proportion estimation functions are broken into two broad classes: (1) organization of the data within the sample segment; and (2) identification of the fields or groups of fields in the sample segment

Investigations of vegetation and soils information contained in LANDSAT Thematic Mapper and Multispectral Scanner data

An extension of the TM tasseled cap transformation to reflectance factor data is presented, and the basic concepts underlying the tasseled cap transformations are described. The ratio of TM bands 5 and 7, and TM tasseled cap wetness, are both shown to offer promise of direct detection of available soil moisture. Some effects of organic matter and other soil characteristics or constituents on TM tasseled cap spectral response are also considered

The analysis of scanner data for crop inventories

There are no author-identified significant results in this report

Analysis of scanner data for crop inventories

There are no author-identified significant results in this report